Wei Xiong

According to our database, Wei Xiong authored at least 28 papers between 2020 and 2024.

Collaborative distances:

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

2024

RLHF Workflow: From Reward Modeling to Online RLHF.

Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

CoRR, 2024

DPO Meets PPO: Reinforced Token Optimization for RLHF.

Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang

CoRR, 2024

A Theoretical Analysis of Nash Learning from Human Feedback under General KL-Regularized Preference.

Chenlu Ye, Wei Xiong, Yuheng Zhang, Nan Jiang, Tong Zhang

CoRR, 2024

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models.

Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, Tong Zhang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint.

Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong, Heng Ji, Nan Jiang, Tong Zhang

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

Mitigating the Alignment Tax of RLHF.

Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts.

Haoxiang Wang, Wei Xiong, Tengyang Xie, Han Zhao, Tong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization.

Renjie Pi, Tianyang Han, Wei Xiong, Jipeng Zhang, Runtao Liu, Rui Pan, Tong Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards.

Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Reward Teaching for Federated Multiarmed Bandits.

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang

IEEE Trans. Signal Process., 2023

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

Hanze Dong, Wei Xiong, Deepanshu Goyal, Yihan Zhang, Winnie Chow, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang

Trans. Mach. Learn. Res., 2023

Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF.

Wei Xiong, Hanze Dong, Chenlu Ye, Han Zhong, Nan Jiang, Tong Zhang

CoRR, 2023

Mitigating the Alignment Tax of RLHF.

Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Yuan Yao, Tong Zhang

CoRR, 2023

One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration.

Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang

CoRR, 2023

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang

CoRR, 2023

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration.

Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reward Teaching for Federated Multi-armed Bandits.

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang

Proceedings of the IEEE International Symposium on Information Theory, 2023

Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes.

Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang

Proceedings of the International Conference on Machine Learning, 2023

Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources.

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang

Proceedings of the International Conference on Machine Learning, 2023

Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game.

Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond.

Han Zhong, Wei Xiong, Sirui Zheng, Liwei Wang, Zhaoran Wang, Zhuoran Yang, Tong Zhang

CoRR, 2022

Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets.

Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang

Proceedings of the International Conference on Machine Learning, 2022

A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games.

Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Distributional Reinforcement Learning for Multi-Dimensional Reward Functions.

Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

(Almost) Free Incentivized Exploration from Decentralized Learning Agents.

Chengshuai Shi, Haifeng Xu, Wei Xiong, Cong Shen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization.

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction.

Haishan Ye, Wei Xiong, Tong Zhang

CoRR, 2020

Decentralized Multi-player Multi-armed Bandits with No Collision Information.

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020