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Prefill-Free Cross-Family KV Cache Transfer for Heterogeneous Multi-Agent LLMs

HeteroFold enables prefill-free cross-family KV cache transfer between frozen heterogeneous LLM agents, accelerating 32K context transfer up to 10.7x while matching text-based multi-agent performance.

Vincent-Daniel Yun, Woosang Lim, Haneul Yoo, Sungjoo Yoo and 2 more

Published Sep 26, 2026 · 0 citations · ▲ 95 on Hugging Face · Code ★ 1

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Attention Is All You Need

The Transformer replaces recurrence and convolutions with attention, achieving superior translation quality and faster training.

Ashish Vaswani, Noam Shazeer, Niki Jitendra Parmar, Jakob Uszkoreit and 4 more

Published Aug 23, 2025 · 26,828 citations

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AI panel: 18 of 21 reviewers recommend it
lenient 5/5
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57%Worth a look
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Reinforcement Learning from Rich Feedback with Distributional DAgger

Rishabh Agrawal, Jacob Fein-Ashley, Paria Rashidinejad

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

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A Foundational Model System for Datacenter Machine Repairs

Yuanlin Wen, Elan S Markowitz, Zubo Gu, Sami Abu-El-Haija and 10 more

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

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69%Highly rated
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Chain-of-Thought Is Not Explainability

Fazl Barez, Tung-Yu Wu, Iván Arcuschin Moreno, Michael Lan 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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TritonTune: LLM-Guided Multi-Agent Optimization of GPU Kernel Configurations

Shukai Duan, Mihai Capotă, Guixiang Ma, Hou-Jen Ko and 4 more

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

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C-GRPO: Conformal Group Relative Policy Optimization

Arya Fayyazi, Seyedarmin Azizi, Mehdi Kamal, Massoud Pedram

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Even Sailors Need Calm Seas: Taming the Geometry of VLMs for Fast Adversarial Fine-Tuning

Yuqing Wen, Junhao Dong, Ting Peng, Xudong Zhang and 5 more

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

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The Sharp Directions Are Against You: Curvature Analysis of Activation Steering

Seyedarmin Azizi, Arya Fayyazi, Parsa Razmara, Erfan Baghaei Potraghloo and 2 more

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

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Say the Same, Act Differently: Text-Orthogonal Action Subspaces in Reasoning Vision-Language-Action Models

Zihao Feng, Qingzhao Zhang, Chunyu Xia, Bo Yu and 2 more

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

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Context-Aware Autoregressive Image Generation for Emerging Reasoning Properties

Jixuan Ying, Haoyu Liu, Timing Yang, Tingyu Zhu and 6 more

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

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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

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The Heel of RLVR: Benchmark Glory Should Not Outpace Honest Measurement

Shuo Yang, Chiyu Ma, Kexin Huang, Jinda Lu and 10 more

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

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Generalized Laplacian in Spectral Seriation on Manifold Data

Ruizi Wu, Wanjie Wang, Jinchi Lv

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

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Accelerated last-iterate convergence of Extragradient via power-law stepsizes

Yue Wu, Weiqiang Zheng, Yang Cai, Haipeng Luo

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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DDBench: A Benchmark for Agentic Debugging on Distributed Systems

Yibo Yan, Huijuan Wang, Junzhou He, Yizhuo Liang and 3 more

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

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Preferential dynamic modeling with forward-backward smoothing

Omid G. Sani, Trisha Jha, Mohammad Hosseini, Maryam Shanechi

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?

Miaosen Chai, Wang Bill Zhu, Shangshang Wang, Yejia Liu and 4 more

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

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PhysGraphNet: Physical-State Scene Graphs via Latent Graph Reasoning and Counterfactual Supervision

Zhengtao Yao, Runhao Li, Yan Wen, Guang Yang and 6 more

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

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Not All Slots Are Equal: Non-Co-Progressive Markov Bridge for Bundle Construction

Rongchao Zhang, Haodong Jing, Siheng Wang, Zhengtao Yao 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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Align as You Couple: Learning Spatial Resolved Inference from H&E Images with Mollified Flow Matching

Rongchao Zhang, Guangyuan Dong, Siheng Wang, Zhengtao Yao 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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Overcoming Attention Distraction: Training-Free Latent Communication for Multi-Agent Systems

zhengjie zhou, Yahao Liu, Ziyue Feng, Tengfei LIU 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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Statistical Inference in Causal Partial Identification under Smooth Densities

Sirui Lin, Zijun Gao, Jose Blanchet, Peter W Glynn

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

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Adaptive Generate-Rank-Verify: Inference-Time Search with Costly Verification

ADAP adaptively increases response sampling and verification to find verified positives with near-optimal expected cost under monotonic rewards.

Shaddin Dughmi, Mahdi Haghifam, Yusuf H Kalayci

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 2

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
74%Highly rated
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Adaptive Calibration in Non-Stationary Environments

Online prediction algorithms achieve calibration error adapting to non-stationarity via $\tilde O(\min\{\sqrt{T}+(TC)^{1/3},\sqrt{KT}\})$ bounds, smoothly interpolating between i.i.d. and adversarial settings.

Junyan Liu, Haipeng Luo, Lillian Ratliff

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

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lenient 2/5
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EVIDENT: Routing MLLM Adaptation through Entity-Grounded Visual Evidence for Cross-Domain Video Temporal Grounding

EVIDENT routes video temporal grounding through explicit visual entity evidence to improve cross-domain robustness via parameter-efficient adapters and distillation.

Geo Ahn, Jiwook Han, Youngrae Kim, Joonseok Lee 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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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
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86%Must read
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3D-PLOT-LLM: Part-Level Object Tokens for 3D Large Language Models

3D-PLOT-LLM inserts learnable part tokens into frozen point features to enable part-level reasoning in 3D LLMs with under 1M parameters, outperforming prior part-aware models on part-QA and grounded description benchmarks.

Jintang Xue, Xinyu Wang, Yixing Wu, Jingwen Chen and 1 more

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

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 3/5
88%Must read
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Graph-Regularized Sparse Autoencoders for LLM Safety Steering

Graph-Regularized Sparse Autoencoders smooth SAE decoder vectors over a neuron co-activation graph to learn safety-steering directions, improving selective refusal by over 16 points across jailbreak benchmarks while preserving benign performance and generalizing across models.

Jehyeok Yeon, Federico Cinus, Yifan Wu, Luca Luceri

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 5/5
medium 8/10
strict 2/5
76%Highly rated
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PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation

PG-LRF uses a physiology-guided latent rectified flow with an electro-hemodynamic simulator to generate physiologically plausible ECGs from PPG, improving generation and cardiovascular disease classification.

Xiaoda Wang, Minxiao Wang, Kaiqiao Han, Defu Cao and 9 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 5/5
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Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness

Reasoning trajectories are discrete hidden-state curves whose spectral flatness measures task hardness and whose kinematics predict correctness early.

Aria Masoomi, Mahsa Bazzaz, Adel Javanmard, Vahab Mirrokni

Atlanta Poster Session 6, Fri, Dec 11, 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
72%Highly rated
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Learning Fractional-Order Dynamics from a Single Trajectory

FO-GS estimates discrete-time fractional-order linear dynamics from one trajectory with both errors scaling as O(t^{-1/2}).

Xiaole Zhang, Ziyi Zhang, zehao zhao, Stephen Tu and 3 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 3/5
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83%Must read
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Video Models Can Reason with Verifiable Rewards

VideoRLVR applies reinforcement learning with verifiable rewards to video diffusion models, improving rule-consistent visual reasoning and cutting training latency 40% via early-step optimization.

Tinghui Zhu, Sheng Zhang, James Yipeng Huang, Selena Song and 4 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 9 on Hugging Face · Code ★ 28

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
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74%Highly rated
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Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs

Ghosted Layers recovers layer-pruned LLMs via training-free activation alignment with a closed-form linear operator, outperforming constrained baselines.

Vincent-Daniel (Juyoung) Yun, Junhyuk Jo, Sai Praneeth Karimireddy, Sunwoo Lee

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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lenient 4/5
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78%Highly rated
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OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search

OASES co-trains a search policy and adaptive evaluator to provide outcome-aligned process rewards, outperforming RL baselines on multi-hop QA benchmarks.

Erhan Zhang, Yiqun Chen, Zechun Niu, Wei Yang and 5 more

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

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lenient 4/5
medium 6/10
strict 1/5
70%Highly rated
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DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off

DiPO disentangles perplexity into exploration and exploitation subspaces to enable fine-grained trade-offs, improving LLM reasoning and function calling via stable perplexity-guided policy optimization.

Xiaofan Li, Ming Yang, Zhiyuan Ma, Shichao Ma and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face

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AI panel: 4 of 20 reviewers recommend it
lenient 2/5
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Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection

Formulating ensemble selection as mutual-information maximization reveals an information-theoretic error floor from model correlation and yields a greedy algorithm that outperforms baselines under fixed query budgets.

Yigit Turkmen, Baturalp Buyukates, Melih Bastopcu

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

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
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WorldMemArena: Evaluating Multimodal Agent Memory Through Action–World Interaction

WorldMemArena evaluates multimodal agent memory through an action-world loop, showing writing and storage improvements do not guarantee performance and harness-based memory remains costly and unreliable.

Chengzhi Liu, Yuzhe YANG, Sophia Xiao Pu, Yepeng Liu and 15 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 29

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AI panel: 16 of 20 reviewers recommend it
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RATS! Patches Talk Through Registers: Emergent Parts in Register Attention Transformers

RATS decomposes vision transformers' classification token into learnable register tokens that spontaneously specialize into object parts, improving segmentation by up to 12 mIoU.

Timing Yang, Predrag Neskovic, Jansen Seheult, Wenchao Han and 3 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 4/5
medium 7/10
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74%Highly rated
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Prediction Under Imperfect Compression: A Theory of Approximate MDL

Approximate balanced MDL with additive slack yields finite cumulative squared error for regularization weight lambda at least 1, but multiplicative approximation and lambda under 1 cause failure, establishing additive approximation is essential.

Qian Li, Xinyu Mao, Shang-Hua Teng, Guangxu Yang

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

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Computer Use at the Edge of the Statistical Precipice

A 1MB replay script outperforms frontier agents on static benchmarks because of flawed environment design and evaluation; the paper proposes PRISM principles, DigiWorld, and hierarchical bootstrap aggregation to fix both.

Pierluca D Oro, Sneha Silwal, William R Wong, Yuxuan Sun and 5 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: 19 of 20 reviewers recommend it
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