Liu, Xiangyu

21 publications

AAAI 2025 Controllable Protein Sequence Generation with LLM Preference Optimization Xiangyu Liu, Yi Liu, Silei Chen, Wei Hu

ICLR 2025 Do LLM Agents Have Regret? a Case Study in Online Learning and Games Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang

AAAI 2025 Is Poisoning a Real Threat to DPO? Maybe More so than You Think Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang

CVPR 2025 MVBoost: Boost 3D Reconstruction with Multi-View Refinement Xiangyu Liu, Xiaomei Zhang, Zhiyuan Ma, Xiangyu Zhu, Zhen Lei

NeurIPS 2025 RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models Jiarui Zhang, Xiangyu Liu, Yong Hu, Chaoyue Niu, Fan Wu, Guihai Chen

ICLR 2024 Beyond Worst-Case Attacks: Robust RL with Adaptive Defense via Non-Dominated Policies Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang

ICLRW 2024 Do LLM Agents Have Regret? a Case Study in Online Learning and Games Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang

ICMLW 2024 Do LLM Agents Have Regret? a Case Study in Online Learning and Games Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang

ICMLW 2024 Do LLM Agents Have Regret? a Case Study in Online Learning and Games Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang

ICLR 2024 Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer

ICMLW 2024 Is Poisoning a Real Threat to LLM Alignment? Maybe More so than You Think Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang

AAAI 2024 Knowledge Graph Error Detection with Contrastive Confidence Adaption Xiangyu Liu, Yang Liu, Wei Hu

NeurIPS 2024 Provable Partially Observable Reinforcement Learning with Privileged Information Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang

ICMLW 2024 Provable Partially Observable Reinforcement Learning with Privileged Information Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang

ICLR 2024 Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang

ICLR 2023 Bayes-MIL: A New Probabilistic Perspective on Attention-Based Multiple Instance Learning for Whole Slide Images Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni B. Chan

NeurIPSW 2023 Beyond Worst-Case Attacks: Robust RL with Adaptive Defense via Non-Dominated Policies Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang

ICMLW 2023 Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer

ICML 2023 Partially Observable Multi-Agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing Xiangyu Liu, Kaiqing Zhang

NeurIPSW 2022 Controllable Attack and Improved Adversarial Training in Multi-Agent Reinforcement Learning Xiangyu Liu, Souradip Chakraborty, Furong Huang

NeurIPS 2021 Towards Unifying Behavioral and Response Diversity for Open-Ended Learning in Zero-Sum Games Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Yaodong Yang