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The Stability of Data Exchange in Competitive Markets

Yuanchen Brian Tang, Jiaxin Song, Bhaskar Ray Chaudhury, Ruta Mehta

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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GEAR: A GPU-Accelerated Global Solver for Nonlinear Programs via Linear Bound Propagation

Duo Zhou, Hesun Chen, Xiangru Zhong, Grani A. Hanasusanto and 1 more

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

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CultureRed: Benchmarking Culture-Specific AI Safety Based on Global Statutes

Xun Liu, Mintong Kang, Seok Min Lim, Ong C Hui and 1 more

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

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RL-Inf: Tracking Non-local Training Data Influence for Online Reinforcement Learning

Shixuan Liu, Cheng Tang, Yuzheng Hu, Fan Wu and 2 more

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

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When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning

Zihao Zhao, Tunyu Zhang, Haizhou Shi, Yusong Zhao 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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Sequential Probabilistic Uncertainty Estimation for Parallel Multi-Agent Reasoning Systems

Tunyu Zhang, Zihao Zhao, Yusong Zhao, Haizhou Shi and 4 more

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

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Trivialized Generative Models on Lie Groups

Neil He, Meenal Jhajharia, Qianxi Wu, Chaoran Cheng 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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67%Highly rated
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ProgramBench: Can Language Models Rebuild Programs From Scratch?

John Yang, Kilian Lieret, Jeffrey Ma, Parth Thakkar and 8 more

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

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SAFTAC: Simulation-Augmented Fine-Tuning of Open-Source LLMs for Analog Circuit Design

Junsheng Huang, Yifan Sun, Zhuoer Zhang, Ning Wei and 6 more

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

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When Does Interaction Help? Representational Tradeoffs in Value-Based Imitation Learning

Luca Viano, Antoine Moulin, Audrey Huang, Volkan Cevher 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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Cascaded Sparse Autoencoders LearnMulti-Level Visual Concepts in Multimodal LLMs

Yusong Zhao, Hengyi Wang, Tanuja Ganu, Akshay Nambi 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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Bayes-pFCL:Bayesian Personalized Federated Continual Learning

qingyang yu, Yang Hua, Hao Wang, Yue Ning and 2 more

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

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VASR: Variance-Aware Systematic Resampling for Diffusion Models

Shivanshu Shekhar, Sagnik Mukherjee, Jia Y Zhang, Tong Zhang

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

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PIVOT: A Unified Agentic Framework for Streaming Long-Video Understanding

Qiushi Lyu, Qianlan Yang, Ziqi Pang, Yu-Xiong Wang and 1 more

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

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Split-and-scale Latent 3D Representations

Dorian Chan, Muhammed Kocabas, Xiaoming Zhao, Oncel Tuzel 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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Your Benchmark Is an Empirical Measure Over Difficulty

Yifan Sun, Naicheng Yu, Jiawen Gong, Jingyan Shen and 1 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Measuring and Strengthening Behavioral Suppression in Language Models

Luxi (Lucy) He, Pengcheng Jiang, Jifan Zhang, Jiawei Han and 1 more

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

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Independent Latents, Robust Neural Operators

Jay Yoo, Kazuma Kobayashi, Jaewan Park, Sai puppala 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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Advancing Affordance-Grounded Creative Tool Use in Large Multimodal Models

Cheng Qian, Hyeonjeong Ha, Jiayu Liu, Jeonghwan Kim 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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OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

OpenWebRL enables open online RL for visual web agents, with a 4B model reaching 67% Online-Mind2Web and 64% DeepShop success using minimal initialization data.

Rui Yang, Qianhui Wu, Yuxi Chen, Hao Bai and 6 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 19 on Hugging Face · Code ★ 52

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
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Variable-Length Generative Protein Design via Generalized Poisson Flow

GPFlow learns generalized Poisson process rate functions for variable-length protein generation, improving designability and recovering length distributions without fixed-length constraints.

Chaoran Cheng, Zhanghan Ni, Yanru Qu, Yuxin Chen and 3 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: 12 of 20 reviewers recommend it
lenient 4/5
medium 6/10
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Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering

Visual Sparse Steering trains sparse autoencoders on frozen CLIP activations to build label-free steering vectors that improve zero-shot classification by up to 4.12 percent via centroid-deviation steering with reconstruction-error gating.

Gerasimos Chatzoudis, Zhuowei Li, Gemma Moran, Hao Wang and 1 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 3/5
86%Must read
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Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors

A clustering-based divergence method measures gaps between real and simulated user behaviors, finding large, family-dependent discrepancies reducible by combining complementary simulators.

Shuhaib Mehri, Philippe Laban, Sumuk Shashidhar, Marwa Abdulhai and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
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86%Must read
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NeurIPS 2026UIUCRL for LLMs

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards

RLVR studies claiming noise tolerance used contaminated data; after rigorous cleaning, noise destroys performance, with incorrect annotations causing 8, 12% worse accuracy.

Yuxuan Zhu, Daniel Kang

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 7/10
strict 2/5
78%Highly rated
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Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory

Lean4Agent uses Lean4 to formally model and verify agent workflows, with verified workflows outperforming failing ones by 11.94% and LeanEvolve improving SWE performance by 7.47%.

Ruida Wang, Jerry Huang, Pengcheng Wang, Xuanqing Liu and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 31

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
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89%Must read
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CoT-Guard: Small Models for Strong Monitoring

CoT-Guard, a 4B-parameter chain-of-thought monitor, detects hidden code-generation objectives via SFT and RL, outperforming larger models including GPT-5.

Nirav Diwan, Han Wang, Berkcan Kapusuzoglu, Ramin Moradi 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: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
83%Must read
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SkillOS: Learning Skill Curation for Self-Evolving Agents

SkillOS uses RL to train a skill curator that updates an external SkillRepo from experience, improving self-evolving agents across reasoning and multi-turn tasks.

Siru Ouyang, Jun Yan, Yanfei Chen, Rujun Han and 12 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 45 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
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86%Must read
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Exact Posterior Score Estimation for Solving Linear Inverse Problems

Exact posterior score estimation derives closed-form posterior scores for linear Gaussian inverse problems, enabling efficient training and sampling that outperforms baselines with far fewer evaluations.

Abbas Mammadov, Ozgur Kara, Kaan Oktay, Iskander Azangulov 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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AI panel: 14 of 20 reviewers recommend it
lenient 2/5
medium 10/10
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80%Must read
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Few-Step Diffusion Language Models via Trajectory Self-Distillation

Trajectory self-distillation trains few-step diffusion language models to match full-step trajectories, mitigating factorization error to enable fast, high-quality parallel decoding.

Tunyu Zhang, Xinxi Zhang, Ligong Han, Haizhou Shi and 9 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 9 on Hugging Face · Code ★ 27

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
76%Highly rated
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ReToken: One Token to Improve Vision–Language Models for Visual Retrieval

ReToken introduces one learnable retrieval token that selects sparse visual tokens from long contexts, improving vision-language models by up to 13.4 points on visual retrieval while fitting on a single GPU.

Yao Xiao, Reuben Tan, Zhen Zhu, Yuqun Wu and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 18

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5
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When Reasoning Meets Its Laws

This paper proposes Laws of Reasoning (LoRe), a framework formalizing reasoning compute and accuracy laws, plus LoRe-Bench showing models lack compositionality; enforcing compute-law compositionality via finetuning improves reasoning performance.

Junyu Zhang, Yifan Sun, Tianang Leng, Jingyan Shen and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 62 on Hugging Face · Code ★ 38

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
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88%Must read
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LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

LangFlow closes the continuous-discrete language-modeling gap via flow matching and a learnable noise schedule, matching discrete diffusion perplexity and exceeding autoregressive zero-shot results on four benchmarks.

Yuxin Chen, Chumeng Liang, Hangke Sui, Ruihan Guo and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 15 on Hugging Face · Code ★ 96

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AI panel: 15 of 20 reviewers recommend it
lenient 3/5
medium 10/10
strict 2/5
78%Highly rated
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Reward Modeling for Multi-Agent Orchestration

OrchRM uses self-supervised orchestration-level reward modeling to train multi-agent orchestrators, cutting token usage by 10x and boosting accuracy up to 8%.

King Yeung Tsang, Zihao Zhao, Vishal Venkataramani, Haizhou Shi 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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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
78%Highly rated
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MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels

MemReward propagates rewards through a heterogeneous rollout graph to enable LLM reinforcement learning using only 20% ground-truth labels and achieves over 96% of oracle performance.

Tianyang Luo, Tao Feng, Zhigang Hua, Yan Xie 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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lenient 5/5
medium 6/10
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78%Highly rated
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Fully Distributed Tâtonnement for Chores Markets

Multiplicative tâtonnement uses local per-chore excess-demand updates to converge to competitive equilibrium in CCH disutility chores markets. It achieves O(1/ε²) approximate equilibrium rates with better constants and runs substantially faster in practice.

Bhaskar Ray Chaudhury, Christian Kroer, Ruta Mehta, Tianlong Nan

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

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AI panel: 11 of 20 reviewers recommend it
lenient 1/5
medium 7/10
strict 3/5