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Showing papers from Huawei Technologies Ltd. Show all papers

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VeriScope: Measuring Verification-Ready Verilog Artifacts

Wei Zhang, Jian Yang, jiajun wu, Junhang Cheng and 3 more

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

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LifeStream: Token Life-Cycle Modeling for Training-Free Online Video Understanding

Yifan Ge, Zhihang Liu, Jiannan Ge, Chenhui Jin and 1 more

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

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SMART: Scalable Multi-Agent Role-conditioned Teaming via LLM-free Tree Search

Runzhe Zhang, Ning Li, Xingshan Zeng, Letian Chen and 4 more

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

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lenient 1/5
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69%Highly rated
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Can LLMs Reliably Grade Olympiad Proofs? A Controlled Study of Mathematical Verification with LLMs

Azim Ospanov, Zijin Feng, Ding Ding, Chengwu Liu and 4 more

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

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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
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A Unified Image and Video Encoder for Multimodal LLMs

Tongtian Yue, Zikang Liu, Longteng Guo, Handong Li and 8 more

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

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Beyond Single-Shot Conditioning: Test-Time Condition Refinement for Diffusion-Based Image Restoration

Aiping Zhang, Jiangang Wang, Shangquan Sun, Yuning Cui and 4 more

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

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Efficient Gradient-Aware Asynchronous Reinforcement Learning for LLM Post-Training

Songhan Yang, Jie Wang, Yinqi Bai, Tong Xialiang and 3 more

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

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How Does Personalized Memory Shape LLM Behavior? Benchmarking Rational Preference Utilization in Personalized Assistants

Xueyang Feng, Weinan Gan, Xu Chen, Quanyu Dai and 1 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
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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

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Adaptive Scheduling Pipeline For Multi-Instance Asynchronous Reinforcement Learning

Salah Chikhi, Luis H Ruiz, Entong Li, Li Zeng

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

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Attribution-Guided Shared-Private Decoupling for Noise-Reduced Audio-Visual Representation Learning

Linge Wang, Yingying Chen, Bingke Zhu, Lu Zhou and 3 more

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

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From Local Skills to Long-Horizon Tasks: Progressive Skill Exploration for LLM Web Agents

Xueyang Feng, Xiaohe Bo, Xu Chen, Quanyu Dai and 1 more

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

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Static-to-Dynamic: Animating Still Mattes via Generative Motion for Video Matting

Suqi Song, Jiaqi Xu, Jialuo He, Renjing Pei and 2 more

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

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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

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TwinPrune: Density-Aware Two-Phase Token Pruning for Vision-Language Models

Kai Liu, Anqi Li, Junxian Li, Zhixin Wang and 3 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
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LADDERS: Length-Aware Data Distribution and Existing-Response Speculation for Fast RL Rollout Generation

Shengpeng Yin, Hui-Ling Zhen, Xing Li, Mingxuan Yuan and 2 more

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

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Curvature-Guided Parameter Initialization for Multi-Task Learning

Linxiao Cao, Zhipeng Zhou, Xutao Huang, Min Zhou and 1 more

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

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67%Highly rated
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KVFocus: A Perturbation-Theoretic Token-Risk Score for Selective KV Cache Reuse in RAG

Shizhuo Zhang, Nuowen Kan, Chenglin Li, Rui-Xiao Zhang and 9 more

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

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Complex Optimization Modeling via Multiagent Fine-Tuning and Skill-Augmented Reasoning

Yu Ding, Jiajun Li, Ran Hou, Jiahui Duan and 6 more

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

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Salvation Lies Within: Proactive Prefix Re-forming for LLM-based Tagging

SHULAN WANG, YingJie Zhu, Yuting Yan, Ke Cheng and 7 more

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

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Coupled Guidance for Flow Matching

Mateo Clémente, Leo Brunswic, Yang, Amir Rasouli

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

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Linear-time rule mining under formal guarantees

Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura

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

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SVDP: Training-Free Contextual Sparsity Predictors for Fast LLM Inference

Georgii Serbin, Kirill Koshkin, Zhongao Sun, Anastasiya Bistrigova and 1 more

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

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Unveiling Entropy-Performance Decoupling in Agentic RL for Tool-Integrated Reasoning

Yirong Zeng, Shen You, Yufei Liu, Hao Cong and 9 more

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

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lenient 1/5
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ClawBenchPro: Benchmarking How Well Agent Harnesses Work

Yufei Liu, Yirong Zeng, Yuxiang He, Yutai Hou and 9 more

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

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Modulating Merging Strengths via Joint Loss Estimation for LoRA-based Continual Learning

Kun Gu, De Cheng, Zhipeng Xu, Lingfeng He and 2 more

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

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TriPrompt: Progressive Local Prompting for Few-shot Out-of-Distribution Detection

Ziyou Xiang, Chaowei Fang, Zhihong Wu, Jiliang Li and 2 more

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

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Efficient Off-Policy RL for Video Generation via Forward-Consistent Reward Matching

Hongzheng Yang, Mengyang LIU, Haoxuan Wu, Kun Li and 2 more

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

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ASTOR: Multi-Task Code Reinforcement Learning via Utility-Driven Coordination

Yujia Chen, Yang Ye, Xiao Chu, Yuchi Ma and 1 more

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

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The Post-Training Dilemma: Why We Should Rethink the Sequential SFT-RL Paradigm

Xueyan Niu, Bo Bai, Wei Han, Weixi Zhang

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

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MDMR-Bench: A Multi-Dimensional Benchmark for Multi-Reference Image Generation

Bowen Zheng, Jintao Lin, Chang-Heng Yi, HAORAN YANG and 4 more

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

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AnyEdit: A Unified Framework for Speech and Singing Voice Editing with Real-World Environmental Consistency

Yunjia Zhang, Junan Zhang, Jing Yang, Xueyao Zhang and 2 more

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

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Fast-Slow Evolutionary Occupancy Prediction via Controlled Dynamics

Runhe Yang, Zhiyuan Zhou, Yuxiang Yan, Xuetong Yang and 6 more

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

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Beyond the Node Barrier: Zero-Shot Strategy Planning for LLM Training on Super-Nodes

Shijie Shen, Chong Li, Pierre Leca, Jiong Lou and 1 more

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

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GEM: Interpretable Language Models via Geometric Embedding Alignment

Dimitrios Tsaras, Yankun Hong, Lei Chen, Zhiyao Xie and 1 more

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

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CADMA: Capacity-Aware Recall Decomposition for Generative Model Assessment

Debin Meng, Zheng Gao, Ziquan Liu, Yanran Li and 2 more

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

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Insight-Driven Search: A Framework for Multi-objective Automated Heuristic Design with Large Language Models

Shunyu Yao, Fei Liu, Ji Cheng, Mingxuan Yuan and 3 more

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

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Do LLMs Bind Episodes? Probing Cross-Episode Parametric Retrieval Through Shared Cues

Francesco Mantovani, Alberto Eusebio, Alexis Huet, Giulio Franzese and 3 more

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

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Tri-Prompting: Controllable Video Generation with Scene, Subject, and Motion Prompts

Zhenghong Zhou, Xiaohang Zhan, Zhiqin Chen, Soo Ye Kim and 7 more

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

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57%Worth a look
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SynerVLA: Exploiting Embodied Execution Phases for On-Device Dual-System VLA Acceleration

Qi Lu, Haotian Xiong, Ziyu Gong, TIANJUN SHI and 3 more

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

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Need-Aware Multi-Objective Reinforcement Learning for Emotionally Intelligent LLM Agents

Xiaohe Bo, Xueyang Feng, Rui Li, Zihang Tian and 2 more

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

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lenient 2/5
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Prefix-Tuning for Arbitrary Output Sequences on Pretrained Transformers

Peter Cho-Ho Lam, Ziyi Wang, Zirui Zhou

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

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Accelerating Rectified Flow Models via Trajectory-Aware Caching

TACache decomposes rectified flow velocity errors into magnitude and direction components to skip steps and reconstruct velocities without extra evaluations, achieving up to 4.14x faster image and 2.11x faster video generation.

Xiao Liu, Kai Liu, Naiyang Guan, Hongliang Lu and 4 more

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

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71%Highly rated
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WorldAct: Activating Monolithic 3D Worlds into Interactive-Ready Object-Centric Scenes

WorldAct converts static generated 3D worlds into editable, interaction-ready scenes via multimodal decomposition and object reconstruction to enable manipulation and embodied tasks.

Jichen Hu, Jiawei Guo, Jiazhong Cen, Chen Yang and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face · Code ★ 32

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AI panel: 7 of 20 reviewers recommend it
lenient 5/5
medium 2/10
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72%Highly rated
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TurboVGGT: Fast Visual Geometry Reconstruction with Adaptive Alternating Attention

TurboVGGT enables fast multi-view 3D reconstruction via adaptive alternating attention that balances sparse global and local frame attention while maintaining competitive quality.

David Huang, Guile Wu, Chengjie Huang, Bingbing Liu and 1 more

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

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74%Highly rated
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Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents

Memory-R2 proposes LoGo-GRPO to enable fair credit assignment for memory-augmented LLM agents across long multi-session horizons via local rerollouts and shared-parameter co-learning.

Sikuan Yan, Ahmed Bahloul, Ercong Nie, Susanna Schwarzmann and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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HiFloat4 Format for Language Model Pre-training on Ascend NPUs

HiFloat4 enables stable FP4 LLM pretraining without stabilization stacks, achieving 1.55% relative loss versus 1.79% for MXFP4 and 2.00% for NVFP4 on Ascend NPUs.

Mehran Taghian Jazi, Yunke Peng, Xing Huang, Yao Wang and 21 more

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

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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

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
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PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding

PSD accelerates diffusion LLM inference via adaptive parallel unmasking and multi-depth speculative drafts with hierarchical verification, achieving up to 5.5x tokens per pass with near-greedy accuracy.

Shengyin Sun, Yiming Li, Renxi Liu, Xinqi Li and 6 more

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

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lenient 4/5
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BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation

BALTO applies balanced token-level credit assignment to mitigate LLM hallucinations by redistributing probability from unsupported to faithful content, outperforming response-level methods on faithfulness benchmarks.

Ning Li, Zixuan Guo, Yan Xu, Wenbo Fei and 6 more

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

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
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MemDLM: Memory-Enhanced DLM Training

MemDLM augments diffusion language model training via bi-level optimization with parametric memory, improving convergence, long-context representations, and needle retrieval.

Zehua Pei, Hui-Ling Zhen, Weizhe Lin, Sinno Pan and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 11

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
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76%Highly rated
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Beyond Thinking: Imagining in 360$^\circ$ for Humanoid Visual Search

Imagining in 360° decouples humanoid visual search into an Imaginator predicting spatial priors and an Actor using them to improve search efficiency without costly trajectory annotations.

Jingdong Zhang, Yizhou Wang, Zhengzhong Tu, Xin Li and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
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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

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
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71%Highly rated
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PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool Planning

PhGPO learns reusable tool-transition patterns from past trajectories via pheromone guidance to improve long-horizon tool planning.

Yu Li, Guangfeng Cai, shengtian yang, Han Luo and 4 more

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

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PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language

PEARL integrates solvers into an interactive optimization modeling loop to iteratively revise formulations using execution feedback, substantially boosting verified solve rates and enabling a small model to outperform a much larger baseline.

Hongliang Lu, Zhong Li, Yuxuan Chen, Lan Yuan and 2 more

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

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SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation

SR-Prominence defines artifact prominence via crowdsourced annotations across 3,935 masks and shows classical full-reference metrics surprisingly detect perceptual impact better than specialized detectors.

Ivan Molodetskikh, Kirill Malyshev, Mark Mirgaleev, Nikita Zagainov and 2 more

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

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AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 5/5
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Efficient Scaling of LLM Training with Flexible Context Parallelism

Flexible Context Parallelism adaptively reconfigures communication groups to eliminate load imbalance and redundant communication, achieving up to 1.46x training speedup over Megatron-LM and DeepSpeed.

Yifan Niu, Han Xiao, Dongyi Liu, Wei zhou and 1 more

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

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Unveiling Memorization–Generalization Coexistence: A Case Study on Arithmetic Tasks with Label Noise

Over-parameterized networks memorize noisy arithmetic labels yet internally form generalizable structures recoverable via frequency methods, revealing distributed memorization-generalization coexistence.

Linyu Liu, Pinyan Lu

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

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Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction

Multimodal LLM safety failure stems from geometry collapse along refusal directions caused by modality drift, which adaptive drift correction and self-rectification restore without training.

Jiahe Guo, Xiangran Guo, Jiaxuan Chen, Weixiang Zhao and 5 more

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

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
72%Highly rated
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ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching

ForceFlow uses force-aware flow matching with asymmetric multimodal fusion and vision-to-force handover to achieve robust contact-rich manipulation with 37% higher success and stronger zero-shot generalization.

Shuoheng Zhang, Yifu Yuan, Hongyao Tang, YAN ZHENG and 6 more

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

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FaithSieve: Fine-Grained Evaluation of Math Proofs with Faithful Formal Evidence

FaithSieve decomposes math proofs into local reasoning units and verifies them in Lean with semantic alignment gating, achieving over 81% first-error localization accuracy on expert benchmarks.

Ziyu Wang, Qiming Dai, Yishan Wu, Zaiwen Wen

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

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Minimizing Modality Gap from the Input Side: Your Speech LLM Can Be a Prosody-Aware Text LLM

TextPro-SLM minimizes speech-text modality gap by feeding prosody-aware text inputs to LLMs, cutting the gap at 3B and 7B scales with only ~1,000 hours of audio.

Wenqian Cui, Xiao-Hui Li, Daxin Tan, Qiyong Zheng and 1 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
71%Highly rated
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LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models

LAMP adaptively selects key transformer components for high-precision recomputation, cutting inference error by up to two orders of magnitude with minimal overhead.

Stanislav Budzinskiy, Marián Gloser, Tolunay Yilmaz, Ying H Tham and 4 more

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

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AI panel: 7 of 20 reviewers recommend it
lenient 5/5
medium 2/10
strict 0/5
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Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents

Linguistic Trajectory Encoding compresses long-horizon object motion into hybrid language-spatial-visual timelines, outperforming baselines on multi-day spatial memory benchmarks with high compression and sub-second queries.

Xie Tianyidan, Shenyi Wang, Qiang Tang, Mingjie Wang and 6 more

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

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Inline Critic Steers Image Editing

Inline Critic uses learnable tokens to critique frozen image-editing models at intermediate layers, steering hidden states during the forward pass to achieve state-of-the-art results.

Weitai Kang, Xiaohang Zhan, Yizhou Wang, Mang Tik Chiu and 3 more

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

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Seg3DParts: Segmentation-Grounded Controllable Part-Level 3D Generation

Seg3DParts uses segmentation-grounded generation with structured cross-part interaction to produce controllable, coherent part-level 3D meshes from single images while introducing the PartObjectNet dataset.

Jiantao Lin, Meixi Chen, Yingjie Xu, Chenbo FU and 4 more

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

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lenient 5/5
medium 4/10
strict 1/5
86%Must read
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STILL: Selecting Tokens for Intra-Layer Hybrid Attention to Linearize LLMs

STILL introduces self-saliency token selection and norm-preserved feature maps to linearize LLMs, matching original performance with up to 86.2% long-context gains.

Weikang Meng, Liangyu Huo, Yadan Luo, Jiawen Guan and 3 more

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

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HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models

HiFloat4 enables end-to-end FP4 reinforcement learning by fixing rollout activation underflow with Rollout-ResQ, cutting accuracy gaps to 1.1% versus BF16.

Hei Yi Mak, Shadan Golestan, Hoang Le, Mehran Taghian Jazi and 9 more

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

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AI panel: 15 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 3/5
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MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models

MIRAGE learns continuous latent reasoning for mobile agents, cutting decoded tokens 75% while matching explicit chain-of-thought accuracy and improving baselines up to 10.2 points via generative world modeling.

Zhichao Yang, Yuanze Hu, Haojie Hao, Longkun Hao and 6 more

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

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
78%Highly rated
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Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving

IRR-Drive uses adaptive multimodal text and BEV reflection to self-correct driving intentions before trajectory generation, achieving state-of-the-art NAVSIM results.

Zisheng Chen, Yuping Qiu, Jianhua Han, Tao Tang and 5 more

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

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
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71%Highly rated
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Fast and Stable Triangular Inversion for Delta-Rule Linear Transformers

Systematic analysis of triangular inversion for delta-rule linear transformers yields algorithms with up to 4.3x speedup on NPUs and preserved end-to-end accuracy across low-precision settings.

Aleksandros Sobczyk, Gioele Gottardo, Christos K Matzoros, Mirko De Vita and 3 more

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

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
78%Highly rated
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Balancing Image Compression and Generation with Bootstrapped Tokenization

SelfBootTok decomposes image tokens into global and local groups via self-bootstrapped learning to shift detail burden to the tokenizer, cutting generator computation by ~40% while achieving state-of-the-art 1.56 gFID with 64 tokens.

Haozhe Chi, Jinghan Li, Hao Jiang, Wu Sheng and 3 more

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

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lenient 4/5
medium 6/10
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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

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
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SePO: Self-Evolving Prompt Agent for System Prompt Optimization

SePO evolves its own prompt agent's system prompt via self-referential open-ended search to optimize task agents, outperforming baselines by 4.49 points across five benchmarks.

Wangcheng Tao, Han Wu, Weng-Fai Wong

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
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G$^2$TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models

G²TR uses generation-branch signals to reduce visual tokens in unified multimodal models, cutting prefill computation by 1.94× while preserving reasoning and editing performance.

Junxian Li, Kai Liu, Zizhong Ding, Zhixin Wang and 3 more

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

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
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78%Highly rated
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Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale

BalanceRoute uses online F-score routing to cut DP load imbalance and boost LLM serving throughput at scale.

Tianci Bu, Yuan Lyu, Zixi Chen, Chendong Song and 5 more

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

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lenient 5/5
medium 6/10
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80%Must read
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PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models

PermuQuant reorders diffusion model channels by statistical similarity before per-group quantization to reduce low-bit quantization error and accelerate inference.

Yongsen Cheng, Kai Liu, Kaiwen Tao, Junxian Li and 4 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
74%Highly rated
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HAPS: Hierarchical LLM Routing with Joint Architecture and Parameter Search

HAPS hierarchically routes LLM tasks across architectures and parameters via coupled routers, outperforming routing baselines on standard benchmarks.

Zihang Tian, Rui Li, Jingsen Zhang, Xiaohe Bo and 2 more

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

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5