PPaperPicks

Yaodong Yang

Peking University, Institute for AI, Beijing, China

62 papers at tracked venues · 54 at CORE A* · active 2024–2026

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Venues

NeurIPS ×15ACL ×13ICLR ×10AAAI ×9ICML ×5AAMAS ×4ACM MM ×1CVPR ×1EMNLP ×1IJCAI ×1IROS ×1NAACL ×1

Frequent coauthors

Jiaming Ji
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Xiaoyuan Zhang
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Juntao Dai
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Yifan Zhong
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Fanqi Kong
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Simin Li
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Jiayi Zhou
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Siyuan Qi
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Fengshuo Bai
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Tianyi Qiu
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Lijun Zhang
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Hantao Lou
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Papers

  1. A Game-Theoretica Negotiation Framework for Cross-Cultural Consensus
    ACL 2026 ·
    Guoxi Zhang
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  2. Communication-Efficient Desire Alignment for Proactive Embodied Human-Agent Interaction
    ACL 2026 ·
    Yuanfei Wang
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  3. DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping
    AAAI 2026 ·
    Yifan Zhong
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  4. SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning
    ACL 2026 ·
    Fanqi Kong
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  5. SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
    ACL 2026 ·
    Lichao Wang
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  6. SafeMT: Multi-turn Safety for Multimodal Language Models
    ACL 2026 ·
    Han Zhu
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  7. Uncovering Strategic Egoism Behaviors in Large Language Models
    ACL 2026 ·
    Yaoyuan Zhang
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  8. When Slower Isn't Truer: Inverse Scaling Law of Truthfulness in Multimodal Reasoning
    ACL 2026 ·
    Sitong Fang
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  9. Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation
    IROS 2025 ·
    Jinzhou Li
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  10. Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs
    ICLR 2025 ·
    Zhaowei Zhang
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  11. Benchmarking Multi-National Value Alignment for Large Language Models
    ACL 2025 ·
    Chengyi Ju
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  12. Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA
    ACL 2025 ·
    Chi-Min Chan
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  13. Carbon Trading Supply Chain Management Based on Constrained Deep Reinforcement Learning
    AAMAS 2025 ·
    Qinghao Wang
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  14. DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation
    NeurIPS 2025 ·
    Kefei Zhu
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  15. Differentiable Information Enhanced Model-Based Reinforcement Learning
    AAAI 2025 ·
    Xiaoyuan Zhang
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  16. Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
    ICLR 2025 ·
    Rui Ye
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  17. Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
    NeurIPS 2025 ·
    Simin Li
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  18. Enhancing LLM-Based Social Bot via an Adversarial Learning Framework
    EMNLP 2025 ·
    Fanqi Kong
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  19. Falcon: Fast Visuomotor Policies via Partial Denoising
    ICML 2025 ·
    Haojun Chen
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  20. Generative RLHF-V: Learning Principles from Multi-modal Human Preference
    NeurIPS 2025 ·
    Jiayi Zhou
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  21. Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models
    AAMAS 2025 ·
    Zhixun Chen
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  22. In-Context Editing: Learning Knowledge from Self-Induced Distributions
    ICLR 2025 ·
    Siyuan Qi
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  23. InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback
    NeurIPS 2025 ·
    Boyuan Chen
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  24. Language Models Resist Alignment: Evidence From Data Compression
    ACL 2025 ·
    Jiaming Ji
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  25. Learning Uniformly Distributed Embedding Clusters of Stylistic Skills for Physically Simulated Characters
    ACM MM 2025 ·
    Nian Liu
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  26. Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
    NAACL 2025 ·
    Haonan Li
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  27. Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment
    ICLR 2025 ·
    Mingzhi Wang
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  28. Mean Field Correlated Imitation Learning
    AAMAS 2025 ·
    Zhiyu Zhao
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  29. Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization
    ICLR 2025 ·
    Juntao Dai
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  30. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference
    ACL 2025 ·
    Jiaming Ji
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  31. RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
    AAAI 2025 ·
    Fengshuo Bai
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  32. Reward Generalization in RLHF: A Topological Perspective
    ACL 2025 ·
    Tianyi Alex Qiu
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  33. Risk-aware Direct Preference Optimization under Nested Risk Measure
    NeurIPS 2025 ·
    Lijun Zhang
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  34. SAE-V: Interpreting Multimodal Models for Enhanced Alignment
    ICML 2025 ·
    Hantao Lou
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  35. STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization
    NeurIPS 2025 ·
    Fengshuo Bai
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  36. Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback
    NeurIPS 2025 ·
    Jiaming Ji
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  37. SafeLawBench: Towards Safe Alignment of Large Language Models
    ACL 2025 ·
    Chuxue Cao
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  38. SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning
    NeurIPS 2025 ·
    Borong Zhang
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  39. Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback
    AAAI 2025 ·
    Jiayi Zhou
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  40. Social World Model-Augmented Mechanism Design Policy Learning
    NeurIPS 2025 ·
    Xiaoyuan Zhang
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  41. Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction
    AAAI 2025 ·
    Hantao Lou
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  42. Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning
    AAAI 2025 ·
    Wenzhe Fan
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  43. World Models Should Prioritize the Unification of Physical and Social Dynamics
    NeurIPS 2025 ·
    Xiaoyuan Zhang
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  44. A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
    AAAI 2024 ·
    Yinmin Zhang
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  45. A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary
    AAMAS 2024 ·
    Le Cong Dinh
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  46. Aligner: Efficient Alignment by Learning to Correct
    NeurIPS 2024 ·
    Jiaming Ji
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  47. AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
    CVPR 2024 ·
    Jieming Cui
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  48. Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
    ICLR 2024 ·
    Simin Li
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  49. CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
    ICLR 2024 ·
    Siyuan Qi
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  50. Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
    ICML 2024 ·
    Yizhe Huang
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  51. End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
    ICML 2024 ·
    Lirui Luo
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  52. Maximum Entropy Heterogeneous-Agent Reinforcement Learning
    ICLR 2024 ·
    Jiarong Liu
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  53. Off-Agent Trust Region Policy Optimization
    IJCAI 2024 ·
    Ruiqing Chen
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  54. Panacea: Pareto Alignment via Preference Adaptation for LLMs
    NeurIPS 2024 ·
    Yifan Zhong
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  55. ProAgent: Building Proactive Cooperative Agents with Large Language Models
    AAAI 2024 ·
    Ceyao Zhang
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  56. ProgressGym: Alignment with a Millennium of Moral Progress
    NeurIPS 2024 ·
    Tianyi Qiu
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  57. STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning
    AAAI 2024 ·
    Sirui Chen
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  58. Safe RLHF: Safe Reinforcement Learning from Human Feedback
    ICLR 2024 ·
    Josef Dai
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  59. Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
    ICML 2024 ·
    Juntao Dai
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  60. SafeDreamer: Safe Reinforcement Learning with World Models
    ICLR 2024 ·
    Weidong Huang
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  61. SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset
    NeurIPS 2024 ·
    Juntao Dai
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  62. Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning
    NeurIPS 2024 ·
    Lijun Zhang
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