Good Papers

Showing papers from Tsinghua University Show all papers

74%Highly rated
?Highly ratedVote to see the score

LexReward: A Taxonomy-Driven Reward Framework for Legal Language Models

LexReward introduces taxonomy-driven rubric-based rewards for legal language models across style, element, and reasoning dimensions, improving DPO and reinforcement learning performance.

Yida Cai, Xin Dai, Bingxiang He, Huiyuan Xie and 4 more

Published Sep 30, 2026 · 0 citations · ▲ 62 on Hugging Face

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

GFD-OPD: Guidance-Folded On-Policy Distillation of Diffusion Models Across Scales

GFD-OPD fixes diffusion on-policy distillation by reducing student-teacher gaps and preventing classifier-free guidance error amplification, achieving state-of-the-art compression results.

Zhenxing Zhang, Jiayan Teng, Wenxu Wu, Zhuoyi Yang and 5 more

Published Sep 30, 2026 · 0 citations

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

78%Highly rated
?Highly ratedVote to see the score

ScopeIF: Improving Scope-Aware Precise Instruction-Following in Large Language Models via Graded Reward Modeling

ScopeIF improves LLM instruction-following via graded reward modeling and scope-aware constraints, enabling small models to match frontier performance.

Bosi Wen, Yilin Niu, Xiaoying Ning, Ying Zhang and 2 more

Published Sep 26, 2026 · 0 citations

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

78%Highly rated
?Highly ratedVote to see the score

From Anomalies to Failures: Constructing Causal Error Graphs for Agentic Trace Diagnosis

CEG-Agent introduces causal error graphs and a taxonomy separating anomalies, errors, and failures to diagnose agentic traces, achieving state-of-the-art results on the CEG-Bench benchmark.

Shu-Xun Yang, Yidong Wang, Zhuoer Feng, Bosi Wen and 6 more

Published Sep 26, 2026 · 0 citations

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

MTAC-IFBench: Benchmarking Instruction-Following in Multi-Turn Agentic Coding

MTAC-IFBench benchmarks multi-turn instruction-following in agentic coding via progressive constraints, revealing rapid performance degradation in current code agents as sessions lengthen.

Bosi Wen, Cunxiang Wang, Jiayi Gui, Haoke Zhang and 5 more

Published Sep 14, 2026 · 0 citations

– ReadersNo votes yet. 1 from authors or colleagues not counted
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

SAHG: Sector-Anisotropic Hyperbolic Graph Model for Social Bot Detection

SAHG detects LLM-driven social bots by applying direction-dependent hyperbolic curvature and dual-channel feature fusion, achieving top accuracy and F1 across three benchmarks.

Hanning Lu, Yingguang Yang, Jinwei Su, Yang; Liu and 7 more

Published May 28, 2026 · 0 citations

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

AI Can Learn Scientific Taste

RLCF trains AI to judge and propose high-impact research ideas via community feedback, showing learned scientific taste generalizes across fields and time.

Jingqi Tong, Mingzhe Li, Hangcheng Li, Yongzhuo Yang and 19 more

Published Mar 15, 2026 · 0 citations · ▲ 316 on Hugging Face · Code ★ 433

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

BabyVision: Visual Reasoning Beyond Language

BabyVision benchmarks core visual reasoning without language and finds top MLLMs score far below human children.

Liang Chen, Weichu Xie, Yiyan Liang, Hongfeng He and 26 more

Published Jan 10, 2026 · 1 citation · ▲ 202 on Hugging Face · Code ★ 257

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

70%Highly rated
?Highly ratedVote to see the score

LongReward: Improving Long-context Large Language Models with AI Feedback

LongReward improves long-context LLMs by applying AI feedback to long-text instruction data via a multi-granularity reward model that evaluates both global coherence and local accuracy.

Jiajie Zhang, Zhongni Hou, Xin Lv, Shulin Cao and 6 more

Published 2025 · 4 citations

– ReadersNo votes yet
4/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

70%Highly rated
?Highly ratedVote to see the score

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency

BIC detects Twitter bots via text-graph interaction and semantic consistency modeling, achieving high detection accuracy.

Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng and 4 more

Published 2023 · 35 citations

– ReadersNo votes yet. 1 from authors or colleagues not counted
5/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

PAR: Political Actor Representation Learning with Social Context and Expert Knowledge

PAR learns political actor representations by integrating social context and expert knowledge into a unified framework.

Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang and 4 more

Published 2022 · 8 citations

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

91%Must read
?Must readVote to see the score

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Swin Transformer is a hierarchical vision transformer using shifted windows for efficient local self-attention and linear image complexity, achieving state-of-the-art results on ImageNet, COCO, and ADE20K.

Ze Liu, Yutong Lin, Yue Cao, Han Hu and 4 more

Published Oct 1, 2021 · 33,075 citations

– ReadersNo votes yet. 1 from authors or colleagues not counted
18/21 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Differential Vector Erasure: Unified Training-Free Concept Erasure for Flow Matching Models

Zhiqi Zhang, Xinhao Zhong, Yi Sun, Shuoyang Sun and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMs

Shaobo Wang, Yongliang Miao, YuanCheng Liu, Qianli Ma and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Pygmalion: Bridging Reconstruction and Generation in Sparse Voxel-based 3D Modeling

Guan Luo, Jing Lin, Xuanyu Yi, Jiahang Liu and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

CrossID: Cross-Supervised Spatio-Temporal Gated Fusion for Personalized Portrait Generation

Dongxu Yue, Qixin Yan, Shiao Yang, Xiaoqiang Zhou and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

AEON: Unifying Video and 3D World Models

Weiqi Zhang, Wenyuan Zhang, Yu-Shen Liu, Junsheng Zhou

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

EditDistill: Is It Possible to Guide Video Editing with Image Editing

guojun lei, Hong Li, Hongbing Yang, Lixue Gong and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Discovering Phase Space Structure in Learned Hamiltonian Systems

Jiayin Liu, Yulong Yang, Vineet Bansal, Christine Allen-Blanchette

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Exploring Lifelong Adaptation: In-Context Reinforcement Learning in Non-Stationary Environments

Ye Wang, Kaiqian Cui, Xinrun Xu, Tao Zhang and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

Complementary Cache Guidance with Gradient Disentanglement for Continuous Test-Time Adaptation

Fanchun Meng, Yuhang Pei, Jiazhen Huang, Tao Ren and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Reliable Clustering and Quantization via Distortion-Constrained Optimal Transport

Tianhao Wu, Wei Zhang, Haoran Pang, Haoran YANG and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

How Much Information is Needed for Accurate Kalman Filtering?

Wenhan Cao, Xuyang Chen, Shuyuan Wang, Lin Zhao

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

RSPReg: Reliability-aware Structural Prototype Learning for Point Cloud Registration

Arzigul Ahat, Eksan Firkat, Askar Hamdulla

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Tianyuan Yuan, Zibin Dong, Yicheng Liu, Hang Zhao

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes

LIU Hanqing, Jianjun Cao, Yuanze Li, Zijian Zhou

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

VIGOR: Visual Gain Ordering for Hallucination Mitigation in Multimodal Discrete Diffusion Language Models

Junzhe Chen, Tian Qin, Eugenie Shi, Tianshu Zhang and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score

What Drives Test-Time Adaptation for CLIP? A Controlled Empirical Study from an Update Perspective

Jiazhen Huang, Xiao Chen, Zhiming Liu, Yaru Sun and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

MM-DyGraph: A Dataset, Benchmark, and Model for Multimodal Dynamic Graphs

Zongyuan Wu, Pengjie Wang, Lingshan Chen, Tianhang Wan and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score

MIND-DDI: Multi-Omics Interpretable Drug-Drug Interaction Prediction with Joint Optimization of Graph Structure, Neural Architecture, and Symbolic Rules

Linxin Xiao, Xin Wang, Yang Yao, Wenwu Zhu

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score

Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering with Generative Optimization

Dapeng Jiang, Yizhe Chi, Kaisen Yang, Tianwei Luo and 18 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Co-evolution: A "One-to-many" LLM Fine-Tuning Paradigm

Dapeng Jiang, Haichuan Tan, Wenxuan Song, Dianqiao Lei and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

LLMs Keep Thinking When Told Not To

Dianqiao Lei, Kevin Qinghong Lin, Pan Lu, Philip Torr and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 1/5
57%Worth a look
?Worth a lookVote to see the score

3D Gaussian Splatting within Self-Learned Neural View-Dependent Color Fields

Yixiao Yang, Yu-Shen Liu, Zhizhong Han

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Bootstrapped Bipartite Actor-Critic for Diffusion RL

Tianze Zhu, yinuo Wang, Letian Tao, Tianyi Zhang and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

Decomposing Temporal and Job-Induced Dynamics for Probabilistic Computing Workload Forecasting via Graph-Conditioned Dual-Branch Diffusion

Baozhen Luo, Minbo Ma, Honglin Zhang, Yuan Yuan and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

From Generation to Restoration: Residual Diffusion for Neural Channel Decoding

Qinshan Zhang, Shipeng Guo, Xuantai Wu, Bin Chen and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Learning a Trajectory-Geometric Condition from Reasoning for VLA Planning

Yuguang Yang, Zhewen Tan, Canyu Chen, Cheng Chi and 8 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

A Latent World-Action Model with Jointly Aligned Reasoning

Hao Luo, Wanpeng Zhang, Yicheng Feng, Sipeng Zheng and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

LogT: Logically Think with Images for Visual Search

Yanjun Fu, Quanzeng You, Jiadong Guo, Yujie Lu and 5 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

TokenRouter: Efficient Serving System for Token-Level LLM Routing

Tianyu Fu, Tengxuan Liu, Ruoxi Wang, Yixin Dong and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

CuBic: Curvature-Driven Dynamic Inference Caching for Fast, High-Fidelity Flow Matching

Yuyang Chen, Linqian Zeng, Yijin Zhou, Hengjie Li and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Principled Policy Optimization for LLMs via Self-Normalized Importance Sampling

Huiyang Shao, Xintong Zhang, Junyi Liu

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

LLMs Optimizing LLMs: Automated MegaKernel Generation for Inference Acceleration

Weiqiang Xiong, Shaohui Peng, Wenyi Li, Hao Lu and 7 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Mitigating Asymmetric Boundary Encroachment in Continual Learning of Vision-Language Models

Mingfeng Li, Xinyang Chen, Xiucheng Li, Weili Guan and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

vExpert: Virtualizing Expert Storage for Adaptive Load Balancing in Distributed MoE Inference

Wenxun Wang, Xiuhong Li, Yida Wang, Chen Tang and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Decoupling Action from Egocentric Observation for World Simulation

Yue Ma, Pengjie Song, Xinyu Wang, Yi He and 9 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Learning to Commit: Next-Commit Prediction via Online Supervised Contrastive Reflection

Mo Li, Qitai Tan, Kai Chen, Ting Cao and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

TARP: Trace-Anchored Regularization Prior for Retaining Stepwise Reasoning

Wei Li, Tao Feng, Hangjie Yuan, Aojun Lu and 1 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

EvoInspect: A Unified Self-Evolving Multi-Agent Framework for Industrial Hardware Inspection

Zhuyun Yuan, Jiming Zhang, Haoyuan Sun, Jun Yin and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

Coarse-to-Refine: Trajectory Self-Refinement in Single Autoregressive Pass for Driving VLA

Canyu Chen, Yuguang Yang, Jianing Pang, Zhewen Tan and 8 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

Efficient Streaming Audio-Visual Target Speaker Extraction for Real-World Acoustic Scenes

Wendi Sang, Kai Li, Yifan Li, Jianqiang Huang and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Patch4Patch: Restoring Structural Connectivity in Patch-based Vision Encoders

Yaqi Zhang, Shuntian Yao, Niantai Qu, Runguo Chen and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

SpRePE: A Spherical Geometry-Aware Position Embedding scheme for Vision Transformers

Qilong Jia, Yi Xiao, Wei Xue

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

SurvCancel: A Longitudinal Dataset and Benchmark for Dynamic Order Cancellation Prediction in On-Demand Ride-Sharing Systems

Huayang Liu, Mingyu Zheng, Wei Zhang, Yijun Bian and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Anchor3DGS: Feed-Forward 3D Gaussian Splatting with Compact Anchor-Based Representation

Sheng Ye, Jiangke Lin, Fudong Wang, Yi Yuan and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Frontier Task Synthesis Via Solution-Centric Evolution

Yangzhen Wu, Aaron Li, Wenjie Ma, Li Cao and 9 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision

Ziyang Zhang, Shenyi Li, Yilin wang, Ziyun Cui and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score

Past, Future, All at Once: Breaking Stability-Plasticity Dilemma via Post-hoc JANUS Rectification

Zhilong Zheng, Letian Tao, Yang Guan, Yujie Yang and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

Seen-Constrained Model-Order Selection for Unknown-$K$ Generalized Category Discovery

Mingfu Yan, Jiancheng Huang, HAIPENG LUO, Yi Huang and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

OroPrecipBench: a km-scale benchmark for spatial precipitation downscaling over complex terrain

Hongyi Chen, Xiaokai Yan, Jiadong Zhang, Jingtao Ding and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Payoff-Aware Prediction of Population Game Dynamics

Kang Wang, Xiao Wang, Bo Li, Renzhe Xu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

PCBInnoBench: Benchmarking LLM Agents on Real-World PCB Design

Fuyuan Xia, Jiaxin Hu, Kewei Yu, Zihan Zhang and 12 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

FoldAbS: Repurposing the Protein Folding Model as a Foundation Encoder for Antibody Screening

Jun Wu, FANDI WU, Xinyuan Zhu, Dawei Huang and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

PreCoMem: Predictive Cognitive Memory for Self-Evolving Long-Term Dialogue Agents

Jian Zhong, Zeyu Liu, Pingchuan Cao, Rongduo Han and 7 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Amortizing Generative Guidance for Model-Based Reinforcement Learning

Xiangteng Zhang, Guojian Zhan, Likun Wang, Jingliang Duan and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

E²Gen: Evidential Energy-Based Generation for Fair Federated Graph Learning

Jingbo Wang, Zitong Shi, Yuxin Wu, Zihan Tan and 5 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

DexMirror: Real-to-Sim Scene Mirroring for Sim-to-Real Dexterous Manipulation

Pu Hua, Zhecheng Yuan, Meng Chu, Peiqi Duan and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Collapse Hunter: Tackling the Dimensional Degeneration in Generative Ranking

Haoran Xin, Junwei Pan, Yongqi Zhou, Tianqu Zhuang and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

LIBERO-PeRM: Benchmarking Personalized Robotic Manipulation

Zhixu Li, Keqian Tang, Litian Gong, Jingyu Yao and 6 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

From Solver Trajectories to Teaching Trajectories: Cognition-Aligned Reasoning Distillation

Yashuo Luo, Qianren Mao, ZiqiQin, Junnan Liu and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Speak Early: Speculative Speech Generation for Low-Latency SpeechLLMs

Tianyuan Jiang, Yongheng Deng, Ju Ren

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Z-Cache: Accelerating Diffusion Transformers via Self-Reflection

Zegang Cheng, Zhikai Wang, Jiacheng Liu, Xiaobing Tu and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

CLEAR: Complementary Tripartite Play with Bayesian Calibration for Semi-Supervised Edge Classification

Zhipeng Sun, Fanchun Meng, Jiazhen Huang, Yongpeng Zhang and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Supervision Recovery for Time Series Anomaly Detection via Counterfactual Pairing

Yifei Gao, Tian Lan, Yimeng Lu, Xuming An and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Canopy: Tree-Aware Rollout Scheduling for Agent Reinforcement Learning

Feiyuan Zhang, LI Pengbo, Ziniu Li, Yuhao Jiang and 8 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding

Haopeng Jin, Tiankun Yang, Zhenyu Guan, ShiQuan Dong and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Decomposing and Reshaping Scaling Laws through Token Learning Times

Pingjie Wang, zechenhu, Peiru Yang, Jingtao Han and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Feasible Policy Optimization for Safe Reinforcement Learning

Yujie Yang, Yuanxu Sun, Wenyu Li, Beiyan Jiang and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Verifier Choice is a Benchmark Design Variable: Auditing Structural Counting Evaluation in Text-to-Image Models

Shurun Li, Michael H Wang, Haibo Zeng, Long Wang

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

SpatialVAM: Spatial-Aware Multi-View Video Diffusion as a Data-Efficient Robot Policy

Peiyan Li, Yixiang Chen, Yuan Xu, Jiabing Yang and 12 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Efficient Hybrid Distillation: Synergizing Score and Adversarial Objectives for One-Step Diffusion

Fei Peng, Junqiang Wu, Haoxian Tan, Jun Zhou and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Time-Frequency Decoupled Cross-Scale Partial Optimal Transport for Time Series Domain Adaptation

Shubin Liu, Xinyang Chen, Xiucheng Li, Weili Guan and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score

Dancing in Fetters: Pareto-Optimal On-Device LLMs under Hardware Constraints

Luoyang Sun, Jiwen Jiang, Yifeng Ding, Fengfa Li and 8 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

Stress Testing Chain-of-Thought Monitoring Against Covert Misalignment

Yao Huang, Yifan Wang, Yitong Sun, Yichi Zhang and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

EIHMR: Collaborative Human-Camera Estimation for Global Human Mesh Recovery

Junchen Ge, Zhengqi Zhang, Hanglei Jin, Shuzhao Xie and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

STAR-Math: Multi-Agent Mathematical Reasoning under Persistent Meta-Strategic Supervision

Jiaao Wu, Xian Zhang, Hanzhang Liu, Sophia Zhang and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

GenRM-Flow: Generators are Process-aware Reward Models in Flow Matching

Siming Fu, Zheming Fu, Ruizhe He, Zeyue Xue and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Learning Global Temporal Dynamics in Sparse Networks via Cycle Counts

Xinyuan Fan, Dong Huang, Tianpai Luo, Pengkun Yang and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Cannistraci-Hebb Channel-wise Dynamic Sparse Training of Convolutional Neural Networks with Contextual Modulation

Wenjing Wu, Hanming Li, Xizheng Deng, Jialin Zhao and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Observations Drift, Structures Remain: Structural Pretraining with Time Alignment for Electromagnetic Signals

Wenjin Gui, Junyu Shen, Haibo Xu, Yuchuang Sun and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

SAGE: Semantically Disentangled Representation Learning through Latent Geometry Constraint and Large Language Model

Qiuyu Chen, Liang Xu, Yunnan Wang, Mingqi Yuan and 8 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Cauchy Scientific Networks: Loss–Architecture Alignment and Its Limit

Haonan Tan, Xin Li, juyi peng, Zhihong Xia and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

EP-Flow: Disordered Crystal Structure Prediction without Site-level Annotation

liu qiuliang, Liming Wu, Qi Li, Zhonglong Peng and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

CSBench: A Comprehensive Benchmark for Evaluating Project-Level System Construction in Computer Science

Hongli Yu, Huan-ang Gao, Botian Wang, Hanlin Wu and 11 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Grassmannian Geodesic Steering: Rank-Preserving Subspace Control for Inference-Time Alignment of Language Models

Longyi Liu, Zhitao Wang, Jianchao Yu, Mingrui Cai and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

From Groups to Rings: Causal Evidence for Algebraic Decomposition in Grokked Transformers

Shurui Zheng, Fanhong Li, Zhixing Huang, Zixi Li and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Riemannian Admissibility Flow for Offline-to-Online Safe Reinforcement Learning

Yuan Chu, Xuewu Ji

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Chatter Attack: Resource Consumption Attack for Large Language Models

Yibo Miao, Yichuan Cao, Xiao-Shan Gao, Yinpeng Dong

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

BrainEM: A Large-Scale and Diverse Benchmark for EM Neuron Segmentation in Connectomics

Zhenghua Li, Lanyue Zhang, Zekang Yang, Kai Li and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

A Hebbian Recurrent Neural Network Explains the Hierarchical Geometry of Sequence Memory

Zhitao FENG, Bo Ho, Huan Luo, xiaolong zou and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Unified Noise Steering for Efficient Human-Guided VLA Adaptation

Junjie Lu, Xinyao Qin, Yuhua Jiang, Kaixin Wang and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

HyperSkill: Training-Free Omnimodal GRPO via Hypergraph-Indexed Skill-Library Evolution

Haoran Luo, Shangkai Lin, Jinyang Wu, XINLIANG ZHOU and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

GAMMA: Scalable 4D Gaussian Reconstruction Model for Novel View Synthesis of Monocular Videos

Weiqi Zhang, Junsheng Zhou, Xuancheng Zhang, Juntong Fang and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

TESLA: Native 4D Gaussian Splatting Generation with Temporally Structured Latents

Weiqi Zhang, Junsheng Zhou, Juntong Fang, Kanle Shi and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Bridging Diffusion and Autoregression for Flexible Time Series Synthesis

Xin Wang, Xuan Zhang, Haipeng Zhang, Chunyu Wei and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE

Lei Jin, Yu Shang, Yiding Ma, Xinhao Jin and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

DRAMA: Dissecting Attention Redundancy for Accelerating Multimodal Diffusion Large Language Models

Yi-Hsin Hung, Fangfu Liu, Shao-Yuan Lo, Chu-Song Chen

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

PhysRemover: A Unified Framework for Physically Realistic Object Removal

Dongxu Yue, Weixuan Jin, Yuhang Yu, Bo Li and 7 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Vision Correlators: Correlation-Driven Visual Understanding with Hypergraphs

Mengqi Lei, Guohuan Xie, Siqi Li, Shihui Ying and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

FrameRouter: Frame Budget Routing for Long-Video Understanding on Video-MME-v2 and Beyond

Bingjun Luo, Jialin Guo, Siqi Li

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Denoising-Time Heterogeneity in VLA Action Generation: A Controlled Study via Step-Wise Expert

Baolong Gao, Yuhan Dong, Xudong Zhang, Yikai Wang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling

Jiarong Wen, Qi Tao, Zhang Kaiyu, Yun Qu and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

When the Most Disruptive Messages Are Safe to Prune in Aggregate: Functional Analysis of Communication Pruning in Two-Agent LLM Systems

Zhen Sun, Xueyang Zhou, Yongchao Chen

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

SpikeSSL: A Universal Spike Inference Framework with Dynamics-Informed State-Space Layers

Chenghao Yue, Siming Xing, shuran liu, Angran Li and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

The Illusion of Diversity: Aligning LLM Exploration via Effective Entropy

Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Cong Qin and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

SearchV: Evolutionary Fine-Grained Visual-Token Skipping for Efficient Vision-Language Models

Xinrui Chen, Zhen Huang, Shuwei Li, Fanyi Zeng and 7 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Learning-to-Memorize: Dynamic Context Management for Long-Horizon Autoregressive Video Generation

Haowei Zhu, Qijie Wang, Jia Li, XING WANG and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Decomposed Graded Verifier for Generative World Modeling

Bowei Liu, Xinchen Zhang, Xuhuan Li, Kaian Jiang and 9 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Surrogate Calibration for Transferable Adversarial Attacks against Black-Box MLLMs

Zhewen Yao, Yao Zhu, Xiangyang Ji, Shiliang Zhang

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Modality-Depth Routing for Visual Reasoning in VLM Post-Training

Yiming Ren, Yiran Xu, Chufan Shi, Yu Qiao and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

UniMoE-World: A Unified Mixture-of-Experts Architecture for Scalable Multi-Control Video Generation World Modeling

Jianjie Fang, Yongyan Xu, Ziyou Wang, Yuchao Huang and 12 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

PhysFlow: Physics-Intrinsic Velocity Regularization for Motion-Intensive Video Generation

Xianglong Guo, Chang Yu, Haobo Xu, Junhao Ma and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score

Seeing Through the Chain: Understanding and Mitigating Hallucinations in Multimodal Large Reasoning Models

Hao Fang, Jinyu Li, Jiawei Kong, Tianqu Zhuang and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

Toward Embodied World Agents via Embodied-Planning Dataset and Interactive World Models

Xiaokun Feng, Junshu Tang, zeyi lin, Ling-Hao Chen and 3 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Mouse Total Capture: A multi-view Dataset for 3D Motion and Expression Capture of Freely Moving Mouse

Jiachen Zhao, He Zhang, Liang An, Tao Yu

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Treat Domain-Specific Languages as Design Variables in LLM Agents

Letian Li, Wenyuan Jiang, Xin Yang, Shuzhao Xie and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

TIMA: Test-Time Internalization for Agentic Memory

Xiaohang Sui, Yongjian Fu, Yizhe Zhao, Sheng Yue and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Dynamic Spectral Federated Graph-Level Clustering

Wenxin Zhang, Xi Xuan, Guangzhen Yao, Feng Zhou and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Unlocking Volition: Proactive Intention Decoding via Interpretable Graph Learning of Multi-Region ECoG

Kaizhong Zheng, JiaJunMA, Hongru Liu, Xinjian LI and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Why Do DiT Editors Drift? Plug-and-Play Low Frequency Alignment in VAE Latent Space

Xiaoce Wang, Sifan Zhou, Kaifei Wang, Leli Xu and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Quantile Benchmarking Heterogeneous Web Corpora in Open LLM Pretraining

Kairong Luo, Zhenbo Sun, Xinyu Shi, Shengqi Chen and 8 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

Constraint Retrieval Is Not Constraint Enforcement in Large Language Models

Yongkang Yang, Xiankun Lin, Lixin Liu, Ziyan Liu and 4 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 1/5
57%Worth a look
?Worth a lookVote to see the score

CPSea2: Composing Terminal Geometries for Structurally Diverse Cyclic Peptide Binder Design

Ziyi Yang, Yinjun Jia, Guiyu Deng, Jiqing Zheng and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

Toward Executable Multi-framework Front-end Code Generation with Self-Correction

Linxiao Li, Haoran Ma, Chenyue Wang, Jiaye Lin and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

BiHashFormer: Hash-Driven Dual-Branch Transformer for Efficient Object Detection in HRW Shots

Jingchen Huang, Wenxi Li, Chenyang Lyu, Moran Liu and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

CURE: Visual Reprogramming of Vision-Language Models under Limited Supervision

Lingzhi Wang, Wei Wang, Xinyang Chen

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Leveraging Dale’s Principle as an Inductive Bias in Recurrent Neural Networks

Jiyi Wang, Chenxiao Yang, Yujia Zhao, Jingzhao Zhang and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

69%Highly rated
?Highly ratedVote to see the score

How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study

Junran Wang, Xinjie Shen, Zehao Jin, Pan Li

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
3/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score

Learning When to Collaborate: Selective Multi-Agent Medical Reasoning via Uncertainty-Aware Routing

Jiacheng Hou, Xueliang Cui, Dan Lu, Ruxin Wang

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

SynGeo: Synergizing Seeing and Proving through Revisable Geometric States

Tianyi Xu, Liu Yang, Wenjun GAO, Junyu Ou and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

VERITAS: Veracity-Enhanced Robust Identification of LLM-generated Text Against Style-shifts

Xiaoquan Yi, Haozhao Wang, Yichen Li, Wenchao Xu and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

SelfCritic-VLA: Language as Intrinsic Critic for Vision Language Action Models in Autonomous Driving

Fang Li, Shaoqing Xu, Yuechen Luo, Hanbing Li and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

GeoMIND: A Benchmark for Spatial Understanding in Robotic Manipulation

Jinghe Wang, Xinrui Cao, Duo Wu, Chenghao Gu and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

67%Highly rated
?Highly ratedVote to see the score

EviSAM3: Evidence-Driven SAM3 for Referring Remote Sensing Image Segmentation

Yuhang Duan, Xiaoshuai Wu, Chengqi Zhang, Jincheng Lu and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Image Generation

Renping Zhou, Zanlin Ni, Tianyi Chen, Zeyu Liu and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space

Hengli Li, Chenxi Li, Tong Wu, Xuekai Zhu and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

A Unified Theoretical Framework for Task Recognition and Task Learning in In-Context Learning

Zhixuan Pan, Li Cao, Yiqi Dong, Chenyu Gan and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

LogicSR: A Unified Benchmark for Logical Discovery from Data

Zimeng Zhang, Xin Zheng, Feifei Zhang, Yunxin Liu and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

57%Worth a look
?Worth a lookVote to see the score

When Further Realization Is Unnecessary: Amortized Reasoning for Long-Horizon LLM Agents

Rongzheng Wang, Jiakai Li, Renzhong Wang, Rongwei Wang and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Does Seeing More Mean Knowing More? Mono-Anchored Advantage Normalization for Multi-Source Visual Reasoning

Fanhu Zeng, Zhicong Luo, Zefan Wang, Li You and 2 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

Neural Compression of Long ADMM Trajectory for Multiparametric Quadratic Program

Liang Wu, Bo Yang, Xu Yang, Honghui Zheng and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

45%Niche pick
?Niche pickVote to see the score

View Confidence Perception-Driven Incremental Prediction for Incomplete Multi-view Multi-label Learning

Pingzhu Liu, Chunming He, Zunnan Xu, Zhirui Fang and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

78%Highly rated
?Highly ratedVote to see the score

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists

Intern-Atlas builds a methodological evolution graph from over one million AI papers to model how methods emerge and adapt, enabling automated idea evaluation and generation.

Yujun Wu, Dongxu Zhang, Xinchen Li, Jinhang Xu and 10 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 47 on Hugging Face

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

Unveiling Fine-Grained Visual Traces: Evaluating MultiModal Interleaved Reasoning Chains in Multimodal STEM Tasks

StepSTEM introduces 283 graduate-level STEM problems with strictly complementary visual-textual inputs to evaluate cross-modal reasoning via step-level alignment, revealing current MLLMs achieve only 38.29% accuracy due to heavy reliance on text.

Jing Jin, Hao Liu, Yan Bai, Yihang Lou and 8 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

74%Highly rated
?Highly ratedVote to see the score

EventPrune: Cascaded Event-Assisted Token Pruning for Efficient First-Person Dynamic Spatial Reasoning

Event Cascade Pruning uses event-camera motion cues to prune video tokens in first-person spatial reasoning, improving accuracy by 1.31 points with 80% fewer tokens and 1.89x speedup.

Pengtao Ma, Ziliang Zhou, Ciyu Ruan, Haoyang Wang and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

72%Highly rated
?Highly ratedVote to see the score

PRISM: Rethinking Atmospheric Scattering Reconstruction as a Unified Understanding and Restoration Model for Real-world Dehazing

PRISM proposes a unified physically structured framework for real-world dehazing via proximal scattering atmosphere reconstruction, online non-uniform haze synthesis, and selective self-distillation adaptation to achieve competitive restoration results.

Chengyu Fang, Chunming He, Yuelin Zhang, Chubin Chen and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

88%Must read
?Must readVote to see the score

Alignment Dynamics in LLM Fine-Tuning

A unified framework decomposes LLM alignment dynamics into competing rebound and driving forces, explaining reversal and faster re-alignment via rehearsal priming.

Yuhan Huang, Huanran Chen, Yinpeng Dong

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

72%Highly rated
?Highly ratedVote to see the score

LoopRPT: Reinforcement Pre-Training for Looped Language Models

LoopRPT applies reinforcement pre-training to looped language models by assigning rewards to latent reasoning steps, improving per-step quality and accuracy-computation trade-offs.

Guo Tang, Shixin Jiang, Heng Chang, Zihan Zhang and 6 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026 · ▲ 16 on Hugging Face

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

71%Highly rated
?Highly ratedVote to see the score

A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning

UniGraphLM proposes a unified graph language model that multi-domain multi-task aligns GNN representations to LLMs via adaptive alignment for cross-domain generalization.

Haibo Chen, Xin Wang, Jiaheng Chao, Ling Feng and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
6/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

86%Must read
?Must readVote to see the score

CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies

CRAFT combines dense counterfactual advantages with grounded residual corrections to reduce variance and bias in closed-loop autonomous driving fine-tuning, achieving strong Bench2Drive gains.

Keyu Chen, Nanfei Ye, Yida Wang, Wenchao Sun and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

78%Highly rated
?Highly ratedVote to see the score

MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive Merging

MemForest partitions agent memory into event trees and progressively merges redundant nodes to cut storage and retrieval costs while preserving nearly all performance.

JunXi Wang, Jiayi Zhu, Te Sun, Chen Zhang and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

UniT unifies human and humanoid actions via visual anchoring into shared latent tokens for scalable policy learning and world modeling. It achieves state-of-the-art data efficiency, zero-shot transfer, and cross-embodiment dynamics alignment.

Boyu Chen, Yi Chen, Lu QIU, Jerry Bai and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 32 on Hugging Face · Code ★ 103

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting

Timeflies jointly infers whether future observations exist and predicts their values, outperforming methods that assume future observation times are known.

Yifan Hu, Hongzhou Chen, Peiyuan Liu, Yiding Liu and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

CAVE: A Structured Credit Assignment Approach for Fragmented Visual Evidence Reasoning

CAVE uses structured process rewards to improve vision-language models' integration of nonlocal visual evidence, boosting fragmented reasoning benchmarks.

Tengda Guo, Jie Leng, Hanlei Li, Yaoyuan Liang and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

74%Highly rated
?Highly ratedVote to see the score

DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization

DCVD jointly detects vulnerable functions and localizes vulnerable statements via dual-channel cross-modal fusion with explicit multi-granularity supervision, outperforming state-of-the-art baselines.

Wenxin Tang, Wenbin Li, Junliang Liu, Jingyu Xiao and 9 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

91%Must read
?Must readVote to see the score

MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization

MM-IssueLoc benchmarks multimodal repository-level issue localization using visual evidence across 652 instances, showing current systems achieve under 39% file accuracy and text-only scores do not transfer.

Shaoxiong Zhan, Shi Hu, Hai Lin, BoyuFeng and 6 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
17/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

86%Must read
?Must readVote to see the score

When Less is More: The LLM Scaling Paradox in Context Compression

Under lossy context compression, larger compressors reduce reconstruction error but increase unfaithfulness via knowledge overwriting and semantic drift, violating scaling laws for faithful preservation.

Ruishan Guo, Yibing Liu, Guoxin Ma, Yan Wang and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

89%Must read
?Must readVote to see the score

Memorize Theorems, Not Instances: Probing SFT Generalization through Mathematical Reasoning

Supervised fine-tuning harms reasoning by memorizing surface correlations rather than theorem application; Theorem-SFT improves MATH and GeoQA scores by teaching explicit rule invocation.

Ruiying Peng, Mengyu Yang, Jing Lei, Xiao-Hui Li and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

SpatialFlow-GRPO: Where Spatial Credit Drives Image Editing

SpatialFlow-GRPO introduces region-aware rewards to replace whole-image feedback, improving fine-grained image editing via spatially aligned policy updates.

Yankai Yang, Yancheng Long, Wei Chen, Xingyu Lu and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

71%Highly rated
?Highly ratedVote to see the score

When Integral Meets Decomposition: A Signal-Level Self-Supervised Feature Decompose Paradigm for Multi-Modal Image Fusion

A signal-level self-supervised paradigm reformulates multimodal feature decomposition via 1D integral constraints, achieving state-of-the-art fusion performance without ground-truth feature maps.

Zeyu Wang, Jiayu Wang, Haiyu Song, Haoran Duan

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

71%Highly rated
?Highly ratedVote to see the score

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning

DeformGen uses dynamics-based topological augmentation to generate diverse deformable object states and warp trajectories for improved manipulation policy learning.

Zili Lin, Wenyao Zhang, Yuyang Zhang, Zekun Qi and 8 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention

CofactVLA deconfounds vision-language-action models via counterfactual intervention to eliminate visual confounders and boost out-of-distribution success by 52.3%.

Yan Zhang, Yinan Wu, Haoran Duan, Jungong Han

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

89%Must read
?Must readVote to see the score

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy

Deriving an alignment imprint from LLM preference tuning, LAPD detects AI-generated text with 45.82% relative gains over baselines via statistically guaranteed preference discrepancy.

Junxi Wu, Kailin Huang, Dongjian Hu, Bin Chen and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

HandEdit: A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing

HandEdit provides a 200M-instance benchmark and dataset for transforming egocentric human hands into diverse dexterous robot embodiments via image editing. It evaluates 11 baselines across hand-only and hand-arm tracks with embodiment-aware metrics.

Zhenjie Yang, Xingyu Jiao, Guopeng Zhong, Shuzhe Yang and 17 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning

DriveDreamer-Policy unifies depth generation, video prediction, and motion planning via geometry-aware world representations, achieving 89.2 PDMS on Navsim v1 and 88.7 EPDMS on v2.

Yang Zhou, Xiaofeng Wang, Hao Shao, Letian Wang and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face · Code ★ 60

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

72%Highly rated
?Highly ratedVote to see the score

MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence

MyoChallenge 2025 benchmarks musculoskeletal sports control via simulated table tennis and soccer tasks, advancing agile motor algorithms across 70 teams.

Cheryl Wang, Chun Kwang Tan, Balint Hodossy, Shirui Lyu and 20 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

IndustryCode: A Benchmark for Industry Code Generation

IndustryCode is a multi-domain, multi-language benchmark of 579 industrial coding sub-problems; Claude 3.5 Opus reaches 68.1% sub-problem and 42.5% main-problem accuracy.

Puyu Zeng, Zhaoxi Wang, Zhixu Duan, Liang Feng and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging

SCF-RKL merges models via sparse, reverse-KL-guided updates that reduce interference and stabilize generation across 24 benchmarks.

Weihong Lin, Lin Sun, Qilong Shi, Aomufei Yuan and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

71%Highly rated
?Highly ratedVote to see the score

ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder

ProCLIP progressively aligns CLIP image encoders with LLM-based embedders via curriculum distillation and contrastive tuning to support long multilingual texts without disrupting pretrained vision-language alignment.

Xiaoxing Hu, Kaicheng Yang, Ziqi Ye, Ziyang Gong and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 11 on Hugging Face · Code ★ 27

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

89%Must read
?Must readVote to see the score

DPIAgent: Divide, Protocol, Isolate for Agentic Reproduction Test Generation

DPIAgent divides reproduction test generation into isolated diagnosis and test phases with structured handoffs, achieving up to 86.17% success on SWT-Bench Verified.

Hao Liu, Steven Liu, Xin Zhang, Jane Luo and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection

VETime unifies temporal and visual modalities via fine-grained alignment and dynamic fusion for zero-shot time-series anomaly detection, outperforming state-of-the-art models with lower overhead.

Yingyuan Yang, Tian Lan, Yifei Gao, Yimeng Lu and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

71%Highly rated
?Highly ratedVote to see the score

RotMoLE: Enhancing Mixture of Low-Rank Experts through Rotational Gating Mechanism

RotMoLE adds a rotation gate to MoE-LoRA experts that rotates rather than merely scaling selected experts, improving specialization and performance on multi-task and multilingual benchmarks.

Mengyang Sun, MaoChuan Dou, Tao Feng, Dan Zhang and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
6/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

72%Highly rated
?Highly ratedVote to see the score

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex

Listwise Policy Optimization explicitly projects policies onto target distributions over response simplices via divergence minimization, improving reasoning performance and stability over group-based policy gradients.

Yun Qu, Qi Wang, Yixiu Mao, Heming Zou and 10 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 67 on Hugging Face

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

88%Must read
?Must readVote to see the score

RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations

RepoMirage evaluates code agents via repository perturbations, revealing severe repository context reasoning gaps and exploration drift, while RepoAnchor improves performance through structure-first scaffolding.

Hanyu Li, Yichi Zhang, Speed Zhu, Hang Su and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

72%Highly rated
?Highly ratedVote to see the score

ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design

ProteinOPD balances multi-objective protein preferences via on-policy distillation from preference-specific teachers, preserving designability with 8x training speedup over RL methods.

Yulin Zhang, He CAO, Zihao Jiang, Chenyi Zi and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization

SMTL replaces sequential reasoning with parallel evidence acquisition for efficient long-horizon agentic search, achieving state-of-the-art results on multiple benchmarks with far fewer reasoning steps.

Chengjun Yu, Shu XU, Jiaqi Wu, Qianben Chen and 20 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 23 on Hugging Face · Code ★ 3

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

74%Highly rated
?Highly ratedVote to see the score

ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models

ExtraVAR proposes stage-aware RoPE remapping and entropy-driven attention calibration to eliminate repetition and detail degradation when extrapolating VAR models to higher resolutions without retraining.

Feihong Yan, Shaoyu Liu, Haixuan Wang, Shuai Lu and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

86%Must read
?Must readVote to see the score

IPIBench: Evaluating Interactive Proactive Intelligence of MLLMs under Continuous Streams

IPIBench evaluates interactive proactive intelligence of MLLMs on continuous video streams, revealing unstable proactive triggering and weak reactive-proactive coordination, while IPI-Agent improves both via temporal gating.

Jinzhao Li, Yinuo Chen, Wenxuan Song, Yijia Lei and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs

FunctionEvolve guides LLM symbolic regression via expression-tree structures, local edits, and structure-aware fitting to recover 82.9% of benchmark forms, 4.5x over baselines.

Zeyu Xia, Jun Zhu, Dong Yan

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

AffectGPT-RL: Revealing Roles of Reinforcement Learning in Open-Vocabulary Emotion Recognition

AffectGPT-RL applies reinforcement learning to open-vocabulary emotion recognition, improving performance by optimizing non-differentiable metrics and enabling reasoning.

Zheng Lian, Fan Zhang, Lan Chen, Yazhou Zhang and 7 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

72%Highly rated
?Highly ratedVote to see the score

Diffusion Models without Classifier-free Guidance

Model-guidance replaces classifier-free guidance by training on condition posterior probabilities, doubling inference speed and achieving 1.34 FID on ImageNet 256.

Zhicong Tang, Dong Chen, Jianmin Bao, Baining Guo

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 175

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder

IDEAL aligns discrete visual tokens with shallow and deep vision features to preserve both semantics and fine details, achieving 0.61 rFID and 1.89 gFID.

Yitong Chen, Zijie Diao, Junke Wang, Lingyu Kong and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 6

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

Asymptotic Anytime-Valid Inference for U-statistics

Derives asymptotic anytime-valid confidence sequences for U-statistics via Hoeffding projections and a SAGE boundary, achieving optimal time-uniform rates for both nondegenerate and degenerate cases.

Leheng Cai, Qirui Hu, Weijia Li

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory

Memory Grafting uses frozen hidden states from a grafting model as conditional n-gram memory for language models, improving average benchmarks to 53.86 versus 52.43 for vanilla Engram at 2.8B scale with minimal overhead.

Runxi Cheng, Yuchen Guan, Yongxian Wei, Qianpu Sun and 6 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

86%Must read
?Must readVote to see the score

STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability

STARE analyzes token-level entropy dynamics under GRPO, identifies a credit assignment mismatch, and uses surprisal-guided advantage reweighting to stabilize policy entropy, improving AIME accuracy by 4-8%.

HAIPENG LUO, Qingfeng Sun, Song-Li Wu, Can Xu and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 12 on Hugging Face · Code ★ 24

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

89%Must read
?Must readVote to see the score

Fix the Structural Bottleneck: Context Compression via Explicit Information Transmission

ComprExIT fixes structural bottlenecks in LLM context compression via explicit cross-layer feature selection and coordinated transport, improving F1 up to 18.5% with minimal parameters and 2x faster compression.

Jiangnan Ye, Hanqi Yan, Zhenyi Shen, Heng Chang and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 16 on Hugging Face · Code ★ 10

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

74%Highly rated
?Highly ratedVote to see the score

Velocity-Space 3D Asset Editing

VS3D performs local 3D asset editing inside the ODE sampler via three modules that eliminate identity leakage and amplify edits without masks or training.

Hao Liu, yuxuan lin, jingfeng Guo, Ruihang Chu and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

70%Highly rated
?Highly ratedVote to see the score

AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization

AnchorWorld improves egocentric world simulation via full-body interaction supervision and anchor-view customization with consistent spatio-temporal dynamics.

Yu Li, Menghan Xia, Gongye Liu, Xintao Wang and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 30 on Hugging Face

– ReadersNo votes yet
5/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

78%Highly rated
?Highly ratedVote to see the score

When the Merge Coefficient Stops Mattering: Proximity Regularized Merging for Continual LoRA Adaptation

Proximity Regularized Merging improves continual LoRA by training mergeable task vectors via proximal penalties, reducing interference and broadening coefficient stability.

Yixuan Liu, Yuhao Sun, Sen Song, Li Jin

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

78%Highly rated
?Highly ratedVote to see the score

SLVMBench: Skill Learning from Video Memory

SLVMBench evaluates video-LLMs on learning skills from long video streams and applying them in real time, revealing substantial performance degradation.

Yudong Yang, Guangzhi Sun, Yixuan Li, Wei Li and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

78%Highly rated
?Highly ratedVote to see the score

Boosting LLM Reasoning via Human-Inspired Reward Shaping

T2T dynamically rewards exploration on failed reasoning attempts and brevity on correct ones, significantly boosting LLM math reasoning over GRPO.

Wenze Lin, Zhen Yang, Xitai Jiang, Xiaoteng Ma and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

71%Highly rated
?Highly ratedVote to see the score

Position: Life-Logging Video Streams Make the Privacy–Utility Trade-off Inevitable

Always-on life-logging video makes the privacy-utility trade-off inevitable for persistent AI, requiring pipeline-aware designs and formal leakage metrics.

Tianyuan Zou, Liang Yue, Yang Liu, Ya-Qin Zhang and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow

ODEWorld learns continuous latent velocity fields via ODEs to enable arbitrary-resolution world modeling, solving representation collapse and excelling at video generation and robotic control.

Dongxiu Liu, Haoyi Niu, Peng Cheng, Yuan Gao and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 14 on Hugging Face · Code ★ 62

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

Flash-KMeans: Fast and Memory-Efficient Exact K-Means

Flash-KMeans eliminates GPU HBM bottlenecks via fused assignment and inverse mapping updates, delivering up to 17.9x speedups over existing exact k-means implementations.

Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li and 9 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 85 on Hugging Face · Code ★ 735

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

Multivariate Time Series Forecasting needs Cross Variable Loss

Direct forecasting ignores cross-variable future dependencies, so adding CvLoss regularizes forecast residuals on cross-variable graphs to improve multivariate time series forecasting accuracy.

Kuiye Ding, Yifan Hu, Hanchen Wang, Hao Xue

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

88%Must read
?Must readVote to see the score

DAWN: Dependency-Aware Fast Inference for Diffusion LLMs

DAWN extracts token dependency graphs to select reliable unmasking positions, accelerating diffusion LLM inference by 1.80-8.06x with negligible quality loss.

Lizhuo Luo, Zhuoran Shi, Jiajun Luo, Zhi Wang and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 12

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection

DAD treats graphic design detection as ordered compositional deconstruction with amodal bounding boxes and element-level reinforcement learning, achieving human-level amodal detection and outperforming baselines across nine benchmarks.

Jiangning Zhu, Bowen Li, Shenyu Qiao, Yima Gu and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning

DiffICL frames tabular synthesis as in-context learning using pretrained structural priors to avoid memorization, improving both quality and privacy in small-data settings.

Xinyan Han, yan Lu, Xiaoyu Lin, Yuanyuan Jiang and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

86%Must read
?Must readVote to see the score

Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback

Structured Defect Grounding models text-to-image failures as structured tuples for diagnosis and alignment, outperforming proprietary vision-language models and improving generation via importance-weighted rewards.

Huaisong Zhang, Hao Yu, Yuxuan Zhang, Jiahe Wang and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

89%Must read
?Must readVote to see the score

TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment

TMPO replaces scalar reward maximization with trajectory-level reward distribution matching via Softmax Trajectory Balance, improving diffusion alignment diversity by 9.1% while avoiding reward hacking and mode collapse.

Jiaming Li, Chenyu Zhu, Zhiyuan Ma, Nanxi Yi and 8 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

88%Must read
?Must readVote to see the score

Model Guides You How to Draw: Adaptive Visual Gating for Unified Multimodal Reasoning

AdaViG uses internal generation-intent and visual-fidelity signals to abort unhelpful visual reasoning steps early, improving multimodal reasoning accuracy by up to 5.7% while cutting visual generation costs by 25-91%.

Wenxi Gao, Guanxi Lu, Didi Zhu, Hao Chen and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy

CORAL introduces a structure-aware benchmark for local and whole-brain neuron reconstruction in light microscopy, revealing current methods need improvement for complete brain-wide tracing.

Zekang Yang, Jiamin Li, Zhenghua Li, Jiaqi Fan and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

74%Highly rated
?Highly ratedVote to see the score

LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving

LaST-VLA replaces explicit chain-of-thought reasoning with a physically grounded latent spatio-temporal framework, achieving record NAVSIM scores and improved reasoning.

Yuechen Luo, Fang Li, Shaoqing Xu, Yang Ji and 9 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control

GeCO replaces fixed-schedule flow matching with time-unconditional optimization that adaptively allocates inference compute and uses field norms as training-free OOD detectors.

Zunzhe Zhang, Runhan Huang, Yicheng Liu, Shaoting Zhu and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

78%Highly rated
?Highly ratedVote to see the score

Impossibility of Distribution-Free Predictive Inference for Individual Treatment Effects

Distribution-free predictive inference for individual treatment effects with continuous covariates requires trivial infinite-length prediction sets.

Chongguang Tao, Zheng Zhou, Yuhong Yang

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

78%Highly rated
?Highly ratedVote to see the score

FacePhys: State of the Heart Learning

FacePhys is a memory-efficient rPPG algorithm using temporal-spatial state space duality that cuts error by 49% with a 3.6 MB footprint and 9.46 ms latency.

Jack Tang, Kegang Wang, Yuntao Wang, Xin Liu and 4 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated

Learning from the Self-future: On-policy Self-distillation for dLLMs

d-OPSD applies on-policy self-distillation to diffusion LLMs via suffix conditioning and step-level supervision, cutting optimization steps by ~90% versus RLVR while outperforming baselines on reasoning benchmarks.

Yifu Luo, Zeyu Chen, Haoyu Wang, Xinhao Hu and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 174 on Hugging Face · Code ★ 18

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Only vote on papers you've read. Sign in with GitHub to vote.

89%Must read
?Must readVote to see the score

ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models

ElegantVLA accelerates vision-language-action models via adaptive compute scheduling, achieving up to 3.77x speedup and doubling control frequency without retraining.

Ye Li, Huanan Liu, Kangye Ji, Yuan Meng and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning

PADL is recast as structured MAP estimation with latent global activation patterns, yielding generalization bounds and an analytical sparsity-storage-accuracy tradeoff for automatic hyperparameter selection and improved reconstruction.

Zihui Zhao, Yang Li

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

72%Highly rated
?Highly ratedVote to see the score

OBJECT-UNI: A Unified Model for Object-Centric Spatial Understanding and Controllable Generation

Object-Uni unifies object-centric spatial understanding and controllable generation via explicit pose variables, improving pose reasoning and geometrically consistent synthesis.

Mining Tan, yinuo Wang, Ziqi Zhou, Weize Quan and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

Learn where to Click from Yourself: On-Policy Self-Distillation for GUI Grounding

GUI-SD uses on-policy self-distillation with privileged visual contexts and entropy-guided distillation for GUI grounding, outperforming GRPO methods in accuracy and efficiency.

Yan Zhang, Daiqing Wu, Huawen Shen, Can Ma and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
76%Highly rated
?Highly ratedVote to see the score

Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling

Falcon-X maps heterogeneous time series variates into a unified latent prototype space using diff-attention and latent entity attention to enable cross-variate modeling and zero-shot structural transfer with strong forecasting results.

Yiding Liu, Yifan Hu, Hongjie Xia, Peiyuan Liu and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

76%Highly rated
?Highly ratedVote to see the score

Temporal Concentration from Rollout Errors: Implicit Preference Optimization For Text-to-Video Diffusion

cIPO aligns text-to-video diffusion by deriving implicit preferences from reconstruction errors and concentrating optimization on high-error temporal segments to fix sparse artifacts.

henglin liu, Fangyuan Kong, Jing Wang, Yizhou Lin and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
72%Highly rated
?Highly ratedVote to see the score

AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution

AtomWorld-Mem restores latent hidden dynamical states from atomistic snapshots via multi-scale memory to improve long-horizon kinetic Monte Carlo evolution and transfer across unseen alloys.

Tian Luo, Ruge Zhang, Haozhi Han, Yifeng Chen and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 0/5
78%Highly rated
?Highly ratedVote to see the score

Tool-IQA: Augmenting Image Quality Assessment with Simple Tools

Tool-IQA equips vision-language models with magnifier and gamma corrector tools for local inspection and calibrated image quality scoring, significantly outperforming state-of-the-art models.

Guanyi Qin, Junjie Zhang, Chunming He, Yibing Fu and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

74%Highly rated
?Highly ratedVote to see the score

Beyond Spatial-Domain Supervision: A Relation Constrained Space for Multi-Modal Image Fusion

Proposed relation-constrained supervision shifts multi-modal image fusion from spatial sources to a learned relation space via aligned DINO and CLIP features, improving results across backbones.

Zeyu Wang, Mingyu Ge, Haiyu Song, Haoran Duan

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

86%Must read
?Must readVote to see the score

CoDMD: Copula-aware Distribution Matching Distillation for Fast Video Generation

CoDMD adds a copula-aware relational regularizer to distribution matching distillation that improves few-step video generation, achieving 84.46/84.87 VBench scores at 4 steps with ~25× speedup.

Wenhu Zhang, Kun Cheng, Changyuan Wang, Shiyao Li and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 3/5
medium 10/10
strict 1/5
83%Must read
?Must readVote to see the score

Evaluating Test-Time Scaling of General LLM Agents

Realistic benchmark reveals LLM agents suffer scaling plateaus and verification gaps that prevent meaningful test-time compute gains.

Xiaochuan Li, Tianshi Ming, Pranav Setlur, Abhijay S Paladugu and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 10 on Hugging Face · Code ★ 25

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

89%Must read
?Must readVote to see the score

PixelART: Image-to-Layer Decomposition without Latents or Text-to-Image Pretraining

PixelART trains a pixel-space diffusion transformer from scratch to decompose images into editable RGBA layers, achieving state-of-the-art results with 80% fewer parameters and 98% lower latency than pretrained alternatives.

Zelin Jia, Zhao Zhang, Zhicong Tang, Yuhui Yuan and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction

Neural CTMC separates CTMC reverse processes into exit rate and jump distribution heads, yielding a factorized ELBO and state-of-the-art discrete diffusion perplexity.

Jingyuan Li, Xiaoyi Jiang, Fukang Wen, WEI LIU and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 2/5
medium 8/10
strict 3/5
78%Highly rated
?Highly ratedVote to see the score

LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model

LatentUM unifies modalities in a shared latent space to enable efficient interleaved cross-modal reasoning and generation, achieving state-of-the-art visual planning and self-reflective generation results.

Jiachun Jin, Zetong Zhou, Xiao Yang, Hao Zhang and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 29 on Hugging Face · Code ★ 63

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
92%Must read
?Must readVote to see the score

Revisiting Embodied Chain-of-Thought for Generalizable Robot Manipulation

Embodied chain-of-thought improves generalization when grounded in action guidance, and ERVLA uses reasoning-dropout supervision to avoid unstable autoregressive reasoning at inference, achieving state-of-the-art robot manipulation results.

Nan Sun, Yuan Zhang, Yongkun Yang, Wentao Zhao and 9 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
19/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 4/5
83%Must read
?Must readVote to see the score

SwiftVLM: Efficient Vision-Language Model Inference via Cross-Layer Token Bypass

SwiftVLM introduces cross-layer token bypass to preserve visual tokens across pruning stages, enabling training-free vision-language model acceleration with superior accuracy-efficiency trade-offs.

Qian, Xinran Yu, Xinan Wang, Danyang Li and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance

RA-CFGCache aligns caching risk with CFG branch errors and timestep propagation to improve diffusion model efficiency and fidelity.

Yiming Liu, Ben Wan, Hui Chen, Ao Wang and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

88%Must read
?Must readVote to see the score

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics

FML-bench isolates agent strategy from infrastructure across 18 ML tasks, finding greedy hill-climbing nearly matches tree search, while adaptive exploration switching outperforms fixed strategies.

Qiran Zou, Hou Hei Lam, Wenhao Zhao, Tingting Chen and 10 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

89%Must read
?Must readVote to see the score

EgoTac: In-the-wild Tactile Prediction from Egocentric Vision

EgoTac predicts tactile signals from egocentric videos using 5.7M image-tactile pairs, achieving under 0.06N force error and outperforming contact estimators.

Wenkang Zhang, Chengbo Yuan, Zicheng Zhang, Zhengxue Cheng and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
89%Must read
?Must readVote to see the score

Towards Scalable Data Diversification for Language Model Pretraining via Leverage Score Sampling

Leverage Score Sampling enables scalable data diversification for LM pretraining via leverage scores, improving diversity by 9.2% and speed by 72×.

Zailin Ma, Quzhe Huang, Yujun Li, Congyuan Rao and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

74%Highly rated
?Highly ratedVote to see the score

ViCO: A Training Strategy towards Semantic Aware Dynamic High-Resolution

ViCO minimizes vision tokens via consistency training across compression ratios, cutting tokens up to 50% while preserving capabilities through semantic-based routing.

Long Cui, Weiyun Wang, Jie Shao, Zichen Wen and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

86%Must read
?Must readVote to see the score

AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning

AEM adaptively modulates response-level entropy dynamics for supervision-free credit assignment in multi-turn agent RL, improving exploration-exploitation trade-offs and consistently boosting strong baselines across ALFWorld, WebShop, and SWE-bench-Verified.

Haotian Zhao, Songlin Zhou, Yuxin Zhang, Stephen S Yau and 8 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 21 on Hugging Face

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5
74%Highly rated
?Highly ratedVote to see the score

Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys

A neural-behavioral framework decodes natural whole-body monkey movement from large-scale epidural cortical signals via an autoregressive model without physical constraints.

Jieshi He, Puzhe Li, Yanan Sui, Mu-ming Poo

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5
72%Highly rated
?Highly ratedVote to see the score

On the Limits of Latent Reuse in Diffusion Models

Freezing and reusing source latent spaces in diffusion models under distribution shift causes score errors governed by subspace misalignment and amplified ambient noise, with shared representations needed for reliable generation.

Yifeng Yu, Lu Yu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 1/5
78%Highly rated
?Highly ratedVote to see the score

Continuous Latent Diffusion Language Model

Cola DLM is a hierarchical latent diffusion language model using continuous latent priors and block-causal DiTs to achieve scalable non-autoregressive text generation. It demonstrates strong scaling behavior and quality competitive with matched autoregressive baselines across benchmarks.

Hongcan Guo, Qinyu Zhao, Yian Zhao, Shen Nie and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 86 on Hugging Face · Code ★ 293

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

86%Must read
?Must readVote to see the score

CellMSA: Context Modeling for Single-Cell Representation Learning

CellMSA improves single-cell representation learning by modeling cross-batch and cross-cell-type context via MSA-inspired gene-pair representations, outperforming existing methods across benchmarks.

Suyuan Zhao, Minghao Liu, Yizhen Luo, Zaiqing Nie

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
80%Must read
?Must readVote to see the score

CausalMix: Data Mixture as Causal Inference for Language Model Training

CausalMix frames data mixture optimization as causal inference to dynamically estimate optimal mixtures via conditional average treatment effects, improving LLM performance without retraining proxy models.

Zinan Tang, YUKUN ZHANG, Shaomian Zheng, Zhuoshi Pan and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 19 on Hugging Face

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
76%Highly rated
?Highly ratedVote to see the score

DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention

DashAttention uses adaptive α-entmax to select variable key-value blocks per query, enabling fully differentiable hierarchical sparse attention that matches full-attention accuracy at 75% sparsity with faster inference than FlashAttention-3.

Yuxiang Huang, Nuno Gonçalves, Federico Alvetreti, Lei Li and 4 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
74%Highly rated
?Highly ratedVote to see the score

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs

UniVLR unifies text and visual reasoning into a shared visual workspace, using compressed visual latent tokens to outperform prior methods with fewer reasoning tokens.

Houcheng Jiang, Jiajun Fu, Junfeng Fang, Chen Gao and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5
83%Must read
?Must readVote to see the score

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning

LatentOmni replaces text chain-of-thought with interleaved audio-visual latent reasoning states to preserve dense sensory signals, improving joint reasoning over explicit text baselines.

Yifan Dai, zhenhua wu, Bohan Zeng, Daili Hua and 17 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 44 on Hugging Face · Code ★ 24

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

80%Must read
?Must readVote to see the score

Video-Zero: Self-Evolution Video Understanding

Video-Zero improves video understanding via annotation-free questioner-solver co-evolution centered on temporally localized evidence, boosting 13 benchmark results.

ruixu zhang, Deyi Ji, Lanyun Zhu, Xuanyi Liu and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
80%Must read
?Must readVote to see the score

Think-with-Rubrics: From External Evaluator to Internal Reasoning Guidance

Think-with-Rubrics embeds rubric generation into reasoning to internally guide LLM responses, outperforming external rubric rewards by 3.87 points.

Jiachen Yu, Zhihao Xu, junjie wang, Yujiu Yang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5
80%Must read
?Must readVote to see the score

Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks

SATR constrains gradient-free RSNN updates via signal-adaptive KL trust regions, improving stability and matching PPO-LSTM returns on continuous control benchmarks.

Jinhao Li, Yuhao Sun, Zhiyuan Ma, Hao He and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos

NoPo4D is the first feed-forward 4D Gaussian system that reconstructs dynamic scenes from unposed multi-view videos, outperforming baselines and optimization methods at much faster speeds.

Matteo Balice, Yanik Künzi, Chenyangguang Zhang, Matteo Matteucci and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 1/5
86%Must read
?Must readVote to see the score

Structure-aware Reinforcement Learning for Protein Directed Evolution

StructEvo uses structure-aware reinforcement learning with delta-structure fusion and hierarchical actions to outperform state-of-the-art protein directed evolution methods by up to 16.3%.

Zikun Nie, Suyuan Zhao, Yizhen Luo, Siqi Fan and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5
76%Highly rated
?Highly ratedVote to see the score

Thinking with Visual Primitives

Thinking with Visual Primitives interleaves spatial markers into chain-of-thought reasoning to close the reference gap, achieving frontier-level visual QA with extreme token efficiency.

Ruijie Lu, Yiyang Ma, Xiaokang Chen, Lingxiao Luo and 4 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

83%Must read
?Must readVote to see the score

SCALECUA : Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL

ScaleCUA scales computer use agents via verifiable synthetic tasks and efficient online RL, achieving new open-source state-of-the-art results on OSWorld and ScienceBoard.

Bowen Lv, Xiao Liu, Yanyu Ren, Hanyu Lai and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

74%Highly rated
?Highly ratedVote to see the score

MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents

MineEvolve converts Minecraft execution feedback into structured skills and remedies via Monitor, Inducer, Curator, and Adaptor, improving long-horizon agent performance across planners.

Zhengwei Xie, Zhisheng Chen, Ziyan Weng, Jinhan Li and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
91%Must read
?Must readVote to see the score

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

MLS-Bench evaluates AI agents on inventing scalable ML methods across 140 tasks, finding current systems fail to reliably surpass human-designed approaches due to insufficient scientific validation insight.

Bohan Lyu, Yucheng Yang, Siqiao Huang, Jiaru Zhang and 24 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 120

– ReadersNo votes yet
17/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

Show 20 more papers