Fengshuo Bai

According to our database, Fengshuo Bai authored at least 18 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning.

Runchuan Zhu, Bowen Jiang, Lingrui Mei, Fangkai Yang, Lu Wang, Haoxiang Gao, Fengshuo Bai, Pu Zhao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, August, 2025

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective.

Yifan Zhong, Fengshuo Bai, Shaofei Cai, Xuchuan Huang, Zhang Chen, Xiaowei Zhang, Yuanfei Wang, Shaoyang Guo, Tianrui Guan, Ka Nam Lui, Zhiquan Qi, Yitao Liang, Yuanpei Chen, Yaodong Yang

CoRR, July, 2025

EuroCon: Benchmarking Parliament Deliberation for Political Consensus Finding.

Zhaowei Zhang, Minghua Yi, Mengmeng Wang, Fengshuo Bai, Zilong Zheng, Yipeng Kang, Yaodong Yang

CoRR, May, 2025

Retrieval Dexterity: Efficient Object Retrieval in Clutters with Dexterous Hand.

Fengshuo Bai, Yu Li, Jie Chu, Tawei Chou, Runchuan Zhu, Ying Wen, Yaodong Yang, Yuanpei Chen

CoRR, February, 2025

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation.

Runchuan Zhu, Zinco Jiang, Jiang Wu, Zhipeng Ma, Jiahe Song, Fengshuo Bai, Dahua Lin, Lijun Wu, Conghui He

CoRR, February, 2025

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation.

Runchuan Zhu, Xinke Jiang, Jiang Wu, Zhipeng Ma, Jiahe Song, Fengshuo Bai, Dahua Lin, Lijun Wu, Conghui He

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

β-DQN: Improving Deep Q-Learning By Evolving the Behavior.

Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs.

Zhaowei Zhang, Fengshuo Bai, Qizhi Chen, Chengdong Ma, Mingzhi Wang, Haoran Sun, Zilong Zheng, Yaodong Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems.

Zhaowei Zhang, Fengshuo Bai, Mingzhi Wang, Haoyang Ye, Chengdong Ma, Yaodong Yang

Proceedings of the Artificial General Intelligence - 18th International Conference, 2025

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors.

Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Efficient Model-agnostic Alignment via Bayesian Persuasion.

Fengshuo Bai, Mingzhi Wang, Zhaowei Zhang, Boyuan Chen, Yinda Xu, Ying Wen, Yaodong Yang

CoRR, 2024

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation.

Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Ying Wen, Yaodong Yang, Bo Xu, Lei Han

CoRR, 2024

Incentive Compatibility for AI Alignment in Sociotechnical Systems: Positions and Prospects.

Zhaowei Zhang, Fengshuo Bai, Mingzhi Wang, Haoyang Ye, Chengdong Ma, Yaodong Yang

CoRR, 2024

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation.

Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Measuring Value Understanding in Language Models through Discriminator-Critique Gap.

Zhaowei Zhang, Fengshuo Bai, Jun Gao, Yaodong Yang

CoRR, 2023

Zero-shot Preference Learning for Offline RL via Optimal Transport.

Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li

CoRR, 2023

PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction.

Fengshuo Bai, Hongming Zhang, Tianyang Tao, Zhiheng Wu, Yanna Wang, Bo Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning.

Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022