Zhuohan Li

PhD student, University of California Berkeley

Joined

October 2017

Names

Zhuohan Li

Emails

****@pku.edu.cn (Confirmed)

****@microsoft.com (Confirmed)

****@berkeley.edu (Confirmed)

****@cs.berkeley.edu (Confirmed)

Personal Links

Homepage

Career & Education History

PhD student

University of California Berkeley (berkeley.edu)

2019 – Present

Undergrad student

Peking University (pku.edu.cn)

2015 – 2019

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
- ICLR 2024 spotlight
- Readers: Everyone
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
- 19 Apr 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
High-throughput Generative Inference of Large Language Models with a Single GPU
Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Re, Ion Stoica, Ce Zhang
- 19 Apr 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Re, Ion Stoica, Ce Zhang
- ICML 2023 OralPoster
- Readers: Everyone
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
- 2020 (modified: 06 Nov 2022)
- CoRR 2020
- Readers: Everyone
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez
- 2020 (modified: 13 Nov 2024)
- CoRR 2020
- Readers: Everyone
Efficient Training of BERT by Progressively Stacking
Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu
- 2019 (modified: 11 Nov 2022)
- ICML 2019
- Readers: Everyone
Hint-Based Training for Non-Autoregressive Machine Translation
Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu
- 2019 (modified: 08 Nov 2022)
- EMNLP/IJCNLP (1) 2019
- Readers: Everyone
Fast Structured Decoding for Sequence Models
Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhi-Hong Deng
- 2019 (modified: 06 Nov 2022)
- NeurIPS 2019
- Readers: Everyone

View all 11 publications

Co-Authors

View all 44 co-authors