Good Papers

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NeurIPS 2026PekingPeking University / UC BerkeleyAIGAI oversight & deception

AI Alignment Can Build Moral Autonomy

Kaile Wang, Hantao Lou, Tianyi (Alex) Qiu, Sebastian Sunday-Grève and 4 more

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

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strict 0/5
57%Worth a look
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NeurIPS 2026National University of Defense THarbin Institute of TechnologyAIGSouth China University of TechnoRobot manipulation

ToS: Tree-of-Skill Reinforcement Learning driven by Behavior Tree for Long-Horizon Manipulation

Xinglin Chen, Yishuai Cai, Yunxin Mao, Minglong Li and 5 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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45%Niche pick
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NeurIPS 2026Shanghai JiaotongShanghai Jiao TongBeijing Zhongguancun AcademyAIGTsinghua University, TsinghuaAgent memory

Remembering What Matters: From Markovian to Subtask-Causal Memory in VLA Policies

Peishuo Wang, Fengshuo Bai, Yufeng Li, Tawei Chou and 6 more

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

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76%Highly rated
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NeurIPS 2026BeihangBeijing University of AeronauticSchool of Computer Science and EAppleBytedanceMulti-agent RL

Heterogeneous Agent Collaborative Reinforcement Learning

HACRL enables heterogeneous agents to share verified rollouts during collaborative on-policy training and execute independently at inference, with HACPO improving all agents by 3.6% over baselines at half the rollout cost.

Zhixia Zhang, Zixuan Huang, Gonxun Li, Huaiyang Wang and 8 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 110 on Hugging Face

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5
89%Must read
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NeurIPS 2026PekingKuaishou- 快手科技Huawei Technologies Ltd.TsinghuaAIGLLM pretraining & scaling laws

Towards Scalable Data Diversification for Language Model Pretraining via Leverage Score Sampling

Leverage Score Sampling enables scalable data diversification for LM pretraining via leverage scores, improving diversity by 9.2% and speed by 72×.

Zailin Ma, Quzhe Huang, Yujun Li, Congyuan Rao 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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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 1/5