Tianhao Wu - RankMe

25 papers A* 12Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	EmbedLLM: Learning Compact Representations of Large Language Models. ICLR Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran
2025	A*	`conf`	From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline. ICML Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2025	A*	`conf`	Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge. EMNLP Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason E. Weston, Sainbayar Sukhbaatar
2025	A*	`conf`	R.I.P.: Better Models by Survival of the Fittest Prompts. ICML Ping Yu, Weizhe Yuan, Olga Golovneva, Tianhao Wu, Sainbayar Sukhbaatar, Jason E. Weston, Jing Xu
2025	J	`jnl`	R.I.P.: Better Models by Survival of the Fittest Prompts. CoRR Ping Yu, Weizhe Yuan, Olga Golovneva, Tianhao Wu, Sainbayar Sukhbaatar, Jason Weston, Jing Xu
2025	A*	`conf`	RouteLLM: Learning to Route LLMs from Preference Data. ICLR Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M. Waleed Kadous, Ion Stoica
2025	J	`jnl`	Sample Complexity and Representation Ability of Test-time Scaling Paradigms. CoRR Baihe Huang, Shanda Li, Tianhao Wu, Yiming Yang, Ameet Talwalkar, Kannan Ramchandran, Michael I. Jordan, Jiantao Jiao
2025	J	`jnl`	Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback. CoRR Yen-Ting Lin, Di Jin, Tengyu Xu, Tianhao Wu, Sainbayar Sukhbaatar, Chen Zhu, Yun He, Yun-Nung Chen, Jason Weston, Yuandong Tian, Arash Rahnama, Sinong Wang, Hao Ma, Han Fang
2025	A*	`conf`	Thinking LLMs: General Instruction Following with Thought Generation. ICML Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason E. Weston, Sainbayar Sukhbaatar
2024	J	`jnl`	EmbedLLM: Learning Compact Representations of Large Language Models. CoRR Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran
2024	J	`jnl`	From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline. CoRR Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge. CoRR Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar
2024	J	`jnl`	RouteLLM: Learning to Route LLMs with Preference Data. CoRR Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M. Waleed Kadous, Ion Stoica
2024	J	`jnl`	Thinking LLMs: General Instruction Following with Thought Generation. CoRR Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar
2023	A*	`conf`	A Reduction-based Framework for Sequential Decision Making with Delayed Feedback. NeurIPS Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon S. Du
2023	J	`jnl`	A Reduction-based Framework for Sequential Decision Making with Delayed Feedback. CoRR Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon S. Du
2023	J	`jnl`	Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment. CoRR Tianhao Wu, Banghua Zhu, Ruoyu Zhang, Zhaojin Wen, Kannan Ramchandran, Jiantao Jiao
2023	A*	`conf`	Statistical Inference on Multi-armed Bandits with Delayed Feedback. ICML Lei Shi, Jingshen Wang, Tianhao Wu
2022	A*	`conf`	A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning. ICLR Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon Shaolei Du
2022	A*	`conf`	Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. ICML Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao
2021	J	`jnl`	A Unified Framework for Conservative Exploration. CoRR Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon S. Du
2021	J	`jnl`	Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. CoRR Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao
2021	A*	`conf`	On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP. ICML Tianhao Wu, Yunchang Yang, Simon S. Du, Liwei Wang
2020	A*	`conf`	Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. NeurIPS Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
2020	J	`jnl`	Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. CoRR Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee