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Why Heavy-Tailed Weights Predict Model Quality

Joseph Wilson, Chris van der Heide, Liam Hodgkinson, Zhichao Wang 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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Bridging the Simulation-to-Experiment Gap with Adversarial Distribution Alignment

Kai Nelson, Tobias Kreiman, Sergey Levine, Aditi Krishnapriyan

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

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AI panel: 1 of 20 reviewers recommend it
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Assistive Dueling Bandits: No-Regret Algorithms for Assisting No-Regret Users

Mark Bedaywi, Cassidy Laidlaw, Austin Tripp, Nika Haghtalab

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

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RAG in a Trenchcoat: When Minimal Memory Is Enough for Agentic Systems, and When It Isn’t

Jingyu Liu, Zongze Li, Zach Xu, Zhanhui Zhou and 3 more

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

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NitroBox: Lightning-Fast Sandbox for Large-Scale RL Training

Yuzhou Nie, Ruilin Zhou, Zhaorun Chen, Jingyang Zhang and 5 more

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

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CME–SpectrumBench: Can LLMs Analyze Condensed Matter Spectral Data?

Jin Gene Wong, Anjney Midha, Joseph Tennyson, Wei-Lin Chiang 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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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

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lenient 2/5
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Treat Bias as Noise: Training Bias-Robust LLM Reasoning via Reinforcement Learning

Qian Wang, Xuandong Zhao, Zirui Zhang, Zhanzhi Lou 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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The Power of a Random Sample in Online Algorithms

Omer Wasim, Sami Davies, Shallu Tomer, Rathish Das

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

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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

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SPECS: Faster Test-Time Scaling through Speculative Drafts and Dynamic Switching

Mert Cemri, Nived Rajaraman, Rishabh Tiwari, Xiaoxuan Liu 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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lenient 1/5
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I-PTC: Interactive Programmatic Tool Calling for Stateful Tool-Augmented Agents

Huanzhi Mao, Chengkun Cao, Shuo Yuan, Joseph Gonzalez

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

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SudoBench: A Contextual Authorization Benchmark for LLM Agents

Vincent Siu, Tianneng Shi, Shangding Gu, Zhun Wang 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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Prototypes of the Mind: A Unified Framework for Probing the Visual Brain

Shi Chen, Seoyoung Ahn, Doris Tsao

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

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Is Decentralized LLM Agent RL Robust to Heterogeneity? An Asymmetric Tale

Canyu Chen, Kangyu Zhu, Zhaorun Chen, Zhanhui Zhou and 5 more

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

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lenient 1/5
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strict 1/5
69%Highly rated
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Position: A Safe LLM and a Safe Harness Do Not Make a Safe Agent

Vincent Siu, Kyle Montgomery, Yujin Potter, Zhun Wang 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: 3 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 1/5
67%Highly rated
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IntegrityBench: Can LLMs Be Trusted as Co-Scientists? A Research Integrity Benchmark

Sai Sidhanth Manoharan Jayanthi, Yash Tripathi, Silu Sharma, Shivank Garg 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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lenient 1/5
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Prompt Optimization Makes Misalignment Legible

Caleb Biddulph, Micah Carroll

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

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Phase Transitions in Heavy-Tailed Mean Estimation under $\ell_p$ Norms

Ishaq Aden-Ali, Yeshwanth Cherapanamjeri, Mikael Møller Høgsgaard, Kasper Green Larsen 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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Learning Process Rewards via Visitation Matching for Efficient RL

Raymond Tsao, Andrew Wagenmaker, Sergey Levine

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

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Aligning AI Teams

Siddarth Srinivasan, Morgan J Matthews, Jascha Sohl-Dickstein, Erik Jones

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

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From Chats to Markets: AgenticPay for LLM-Powered Negotiation in Multi-Agent Commerce

Xianyang Liu, Shangding Gu, Fan Xu, Manxi Wu 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
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Long-Term Risks of Risk-Based Allocation

Jivat Neet Kaur, Jane Lee, Manolis Zampetakis

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

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Strategic Feature Selection and Regularization

Jivat Neet Kaur, Pratik Patil, Divya Shanmugam, Emma Pierson 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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Bigger Isn’t Better: Why the Indiscriminate Scaling of Foundation Models Can’t Solve Biology

Kathryne Metcalf, Lorin Crawford, Mary L Gray, Kevin K Yang 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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AI panel: 4 of 20 reviewers recommend it
lenient 2/5
medium 1/10
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Evolving Agent Teams

Shiyi Cao, Ziming Mao, Dacheng Li, Joseph Gonzalez and 1 more

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

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Generative Structure from Motion with Native 3D Diffusion

Haobin Duan, Binbin Huang, Mochu Xiang, Yiqun Zhao 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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lenient 1/5
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Spectral Estimation with Deformed Decompression

Siavash Ameli, Chris van der Heide, Liam Hodgkinson, Michael Mahoney

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

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Long-Context Language Models Require Extreme Sparsity in Context Dimension

Prithvi Dixit, Sahil Joshi, Agniva Chowdhury, Anshumali Shrivastava and 4 more

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

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lenient 1/5
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Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist Rewards

Yuanhao Ban, Tong Xie, Sohyun An, Yunqi Hong and 5 more

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

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67%Highly rated
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Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale

Siddharth Gollapudi, Prasann Singhal, Nilesh Gupta, Sewon Min

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

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lenient 1/5
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Time to Pay Attention! Understanding High Complexity Corpus Reasoning Tasks

Prasann Singhal, Amanda Bertsch, Jacob Steinhardt, Sewon Min

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

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88%Must read
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Gen-Searcher: Reinforcing Agentic Search for Image Generation

Gen-Searcher trains a search-augmented image generation agent via supervised and reinforcement learning, yielding about 16-point gains on knowledge-intensive benchmarks.

Kaituo Feng, Manyuan Zhang, Shuang Chen, Yunlong Lin and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 54 on Hugging Face · Code ★ 400

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
76%Highly rated
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Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory

Spectral optimizer Muon exceeds SGD associative memory capacity, matching Newton's method with first-order updates and larger critical batch sizes.

Juno Kim, Eshaan Nichani, Denny Wu, Alberto Bietti 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: 10 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 3/5
76%Highly rated
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Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models

Equilibrium Matching learns implicit energy landscapes for optimization-based sampling, surpassing diffusion models with 1.90 FID on ImageNet 256x256 while supporting denoising, OOD detection, and composition.

Runqian (Ray) Wang, Yilun Du

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 217

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lenient 3/5
medium 6/10
strict 1/5
72%Highly rated
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Equilibrium Forcing: Adaptive Video Generation Without Noise Conditioning

Equilibrium Forcing removes noise conditioning from video diffusion to enable adaptive closed-loop inference that improves generation quality and consistency.

Hansen Lillemark, Alex Rojas, Zachary Novack, Runqian (Ray) Wang 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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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 1/5
86%Must read
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Learning to Discover Iterative Spectral Algorithms

AutoSpec is a neural framework that discovers iterative spectral algorithms via self-supervised prediction of recurrence coefficients, yielding order-of-magnitude speedups over classical baselines.

Zihang Liu, Oleg Balabanov, Yaoqing Yang, Michael Mahoney

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

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
83%Must read
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Spectral Feedback for Test-Time Alignment of Protein Diffusion Models

Spectral Feedback iteratively selects protein tokens to re-mask and resample using sparse Fourier edit-set value functions, improving inverse-folding stability by up to 32.3% at test time.

Shai Dickman, Mert Cemri, Landon Butler, Kannan Ramchandran

Sydney Poster Session 3, Wed, Dec 9, 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 7/10
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83%Must read
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AlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts Quantization

AlphaQ allocates MoE quantization bits without calibration using heavy-tailed spectral analysis, outperforming calibration-based methods and achieving near full-precision accuracy at 3.5-bit average precision.

Wanqi Yang, Yuexiao Ma, Alexander Conzelmann, Xiawu Zheng 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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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
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89%Must read
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Learning to Follow In-Context Watermark Instructions via Self-Distillation

ICWBench reveals current LLMs fail at in-context watermarking, and self-distillation with reinforcement learning raises watermark detectability near perfect while preserving quality.

Yepeng Liu, Tianyi Chen, Xuandong Zhao, Dawn Song 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: 16 of 20 reviewers recommend it
lenient 5/5
medium 6/10
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