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Language Models Need Sleep

Sangyun Lee, Sean McLeish, Tom Goldstein, Giulia Fanti

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

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ANCHOR: Audio-Visually Grounded Chain-of-Thought Reasoning Benchmark

Joel Julin, Souraja Kundu, Liza Dahiya, George Z Wei and 5 more

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

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Learning Hierarchical Patch Splitting Policies for Faster Vision Transformers

Aditya Gupta, Jean S Dandurand, Kai Qiu, Rohan Choudhury 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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Iterative Nonlinear Computation Underlying Abstract Reasoning

Zitian Gao, Yilong Chen, Yihao Xiao, Xinyu Yang 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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Trajectory Planning without Trajectory Data: A Manifold-Guided Approach

Silong Yong, Anji Liu, Cunxi Dai, Carl Busart and 4 more

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

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Position: Neurosymbolic AI is a strong technical foundation for trustworthy, deployable AI by design

Chandler Squires, Yaqi Xie, Simon Stepputtis, Katia Sycara 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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Witness Overlap: Directional Provenance Inside Open-Weight Model Families

Siyuan Li, Haoxuan Zeng, Xin Luo, Fernando Jia and 5 more

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

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When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models

Cross-vocabulary tokenizer transplantation exhibits asymmetric realizability, allowing identical reconstruction coefficients to stay inert in donor anchors yet yield high-salience outputs in base anchors, forming breaker tokens that survive weight merging and evade spectral filters and LoRA mitigati

Xiaoze Liu, Weichen Yu, Matt Fredrikson, Xiaoqian 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: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5
91%Must read
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Smooth Partial Lotteries for Stable Randomized Selection

Partial lotteries are unstable because small score changes cause large selection shifts, so the Clipped Linear Lottery uses Lipschitz-smooth probabilities to achieve near-optimal regret with better stability-utility tradeoffs.

Alexander Goldberg, Giulia Fanti, Nihar Shah

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

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
88%Must read
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Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining

V-pretraining uses downstream examples to score self-supervised task designs, improving target capabilities without degrading generalization across language and vision.

Shuqi Ke, Giulia Fanti

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

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
86%Must read
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The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric

A dataset of multi-aspect human visual similarity judgments benchmarks vision-language models and yields the TPIPS metric, which aligns with human perception and enables text-guided image retrieval and generative evaluation.

Sheng-Yu Wang, Yotam Nitzan, Aaron Hertzmann, Jun-Yan Zhu and 3 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: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
78%Highly rated
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SkipSR: Faster Super-Resolution with Token Skipping

SkipSR accelerates diffusion video super-resolution by skipping low-detail regions identified in low-resolution inputs, achieving up to 60% faster latency without quality loss.

Rohan Choudhury, Shanchuan Lin, Jianyi Wang, Hao Chen 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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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
88%Must read
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Gym-Anything: Turn Any Software into an Agent Environment

Gym-Anything converts any software into interactive agent environments via multi-agent setup and auditing, yielding CUA-World with 10K long-horizon tasks and improved agent performance.

Pranjal Aggarwal, Graham Neubig, Sean Welleck

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

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
86%Must read
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Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark

RL4F introduces an offline RL benchmark for tokamak plasma control using DIII-D dynamics, finding model-based methods perform best but no method dominates all tasks.

YANG FU, Haomin Bao, Rohit Sonker, Xiaoyan Hu 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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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
92%Must read
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OdysSim: Building Foundation Models for Human Behavior Simulation

OdysSim trains 8B behavioral foundation models via SOUL taxonomy and multi-stage recipes, ranking first on eight human simulation benchmarks while nearly matching real-user reaction alignment.

Xuhui Zhou, Weiwei Sun, Weihua Du, Jiarui Liu and 5 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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19/20 AI panelreviewers recommend it

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AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 4/5
83%Must read
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Learning What Evaluators Value: A Reliable Approach to Modeling Evaluator Preferences

A coordinate-wise non-decreasing preference-learning algorithm is robust to model mismatch and improves fairness in peer review.

Madeline Kitch, Nihar Shah

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5