Tianhao Wu

According to our database, Tianhao Wu authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Thinking LLMs: General Instruction Following with Thought Generation.

Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar

CoRR, 2024

EmbedLLM: Learning Compact Representations of Large Language Models.

Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran

CoRR, 2024

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge.

Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar

CoRR, 2024

RouteLLM: Learning to Route LLMs with Preference Data.

Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M. Waleed Kadous, Ion Stoica

CoRR, 2024

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica

CoRR, 2024

2023

Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment.

Tianhao Wu, Banghua Zhu, Ruoyu Zhang, Zhaojin Wen, Kannan Ramchandran, Jiantao Jiao

CoRR, 2023

A Reduction-based Framework for Sequential Decision Making with Delayed Feedback.

Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon S. Du

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

Statistical Inference on Multi-armed Bandits with Delayed Feedback.

Lei Shi, Jingshen Wang, Tianhao Wu

Proceedings of the International Conference on Machine Learning, 2023

2022

Nearly Optimal Policy Optimization with Stable at Any Time Guarantee.

Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao

Proceedings of the International Conference on Machine Learning, 2022

A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning.

Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon Shaolei Du

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Unified Framework for Conservative Exploration.

Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon S. Du

CoRR, 2021

On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP.

Tianhao Wu, Yunchang Yang, Simon S. Du, Liwei Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot.

Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020