Boyi Liu - RankMe

29 papers A* 11A 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. ICML Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang
2025	J	`jnl`	BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. CoRR Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang
2025	A*	`conf`	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. ICML Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang
2024	J	`jnl`	Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. CoRR Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang
2024	A*	`conf`	Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2024	A*	`conf`	Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. NeurIPS Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang
2024	J	`jnl`	Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. CoRR Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang
2024	A*	`conf`	Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents. ICML Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang
2024	J	`jnl`	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. CoRR Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang
2023	J	`jnl`	Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints. CoRR Jiayang Li, Jing Yu, Boyi Liu, Zhaoran Wang, Yu Marco Nie
2023	A*	`conf`	Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints. ICML Jiayang Li, Jing Yu, Boyi Liu, Yu Marco Nie, Zhaoran Wang
2023	A	`conf`	Differentiable Arbitrating in Zero-sum Markov Games. AAMAS Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu
2023	J	`jnl`	Differentiable Arbitrating in Zero-sum Markov Games. CoRR Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu
2023	J	`jnl`	Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. J. Mach. Learn. Res. Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang
2023	J	`jnl`	Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2023	A*	`conf`	Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. NeurIPS Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao
2023	J	`jnl`	Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. CoRR Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao
2023	J	`jnl`	Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency. CoRR Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang
2022	J	`jnl`	An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models. CoRR Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang
2022	J	`jnl`	Differentiable Bilevel Programming for Stackelberg Congestion Games. CoRR Jiayang Li, Jing Yu, Qianni Wang, Boyi Liu, Zhaoran Wang, Yu Marco Nie
2022	A*	`conf`	Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. NeurIPS Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
2022	A*	`conf`	Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. NeurIPS Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. CoRR Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	BooVI: Provably Efficient Bootstrapped Value Iteration. NeurIPS Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. CoRR Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
2019	J	`jnl`	Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy. CoRR Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang
2019	A*	`conf`	Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy. NeurIPS Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang
2019	—	`conf`	Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. ICLR (Poster) Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
2018	J	`jnl`	Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. CoRR Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng