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45%Niche pick
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High Probability Risk Control for Online Policy Learning

Yihong Guo, Drew Prinster, Suchi Saria, Anqi Liu

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
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Lost on Campus: Evaluating Embodied Spatial Reasoning of Vision-Language Models in the Wild

Zehan Zheng, Yanyuan Chen, Deming Li, Yutao Tang and 4 more

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

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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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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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1/20 AI panelreviewers recommend it

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Mission Impossible: Diagnosing and Fixing Non-Operative Instruction Following in Image Editing

Guoyizhe Wei, Feng Wang, Alan Yuille, Rama Chellappa

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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Transforming Image Editors into Video Editors

Feng Wang, Zijie Li, Ceyuan Yang, Alan Yuille 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
74%Highly rated
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How to Interpret Agent Behavior

ACT*ONOMY introduces a three-level taxonomy of 10 actions and 46 subactions for describing autonomous agent behavior at runtime, plus an open repository and automated analysis pipeline that compares behavioral profiles and surfaces failure patterns.

Sophia Gao, Kaiser Sun, Jen-Tse Huang, Katherine Van Koevering and 7 more

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

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5
80%Must read
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CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning

CausalSpatial benchmarks object-centric causal spatial reasoning, revealing MLLMs score 54% versus human 84% due to ungrounded textual reasoning, fixed by video-simulation framework COW.

Wenxin (Wendy) Ma, Chenlong Wang, Ruisheng Yuan, Hao Chen and 9 more

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5
78%Highly rated
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AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents

AgentOdyssey generates open-ended long-horizon text games to evaluate test-time continual learning, finding top agents far below human performance despite scaling with model strength.

Zheyuan Zhang, Zehao Wen, Bowei Zhang, Andrew Wang and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 55

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
91%Must read
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Jointly Reinforcing Diversity and Quality in Language Model Generations

DARLING uses a learned partition function to jointly optimize language model response quality and semantic diversity via reinforcement learning, improving both quality and novelty across creative and math benchmarks.

Tianjian Li, Yiming Zhang, Ping Yu, Swarnadeep Saha and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 25 on Hugging Face · Code ★ 61

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5
80%Must read
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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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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
88%Must read
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The Compliance Trap: Diagnosing How AI Agents Consume Conflicting Memory

Proposed E-P-R framework diagnoses AI agents consuming conflicting memory via entry-propagation-recovery, finding a compliance trap where early adoption collapses success.

Yixiong Chen, Xinyi Bai, Alan Yuille

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5