Le Hou

Software Engineer, Google Research

Joined

January 2019

Names

Le Hou (Preferred)

Emails

****@stonybrook.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Software Engineer

Google Research (google.com)

2020 – Present

PhD student

State University of New York, Stony Brook (stonybrook.edu)

2014 – 2019

Research intern

Microsoft (microsoft.com)

2018 – 2018

Advisors, Relations & Conflicts

Coauthor

Joel Saltz

2014 – 2019

Coauthor

Tahsin Kurc

2014 – 2019

PhD Advisor

Dimitris Samaras

2013 – 2019

Expertise

Natural Language Processing

2020 – Present

Semi-supervised Learning

2016 – 2019

Image Segmentation

2015 – 2019

Medical Image Analysis

2014 – 2019

Publications

Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Kumar Avinava Dubey, Alexandre Rame, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Leonard Hussenot, Olivier Bachem, Edouard Leurent
- Pluralistic-Alignment 2024
- Readers: Everyone
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V Le, Barret Zoph, Jason Wei, Adam Roberts
- 16 Feb 2024
- OpenReview Archive Direct Upload
- Readers: Everyone
Mixture-of-experts meets instruction tuning: A winning combination for large language models
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
- 16 Feb 2024
- OpenReview Archive Direct Upload
- Readers: Everyone
Enabling Lanuguage Models to Implicitly Learn Self-Improvement
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
- ICLR 2024 poster
- Readers: Everyone
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
- ICLR 2024 poster
- Readers: Everyone
Large Language Models Can Self-Improve
Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
- EMNLP 2023 Main
- Readers: Everyone
Symbol tuning improves in-context learning in language models
Jerry Wei, Le Hou, Andrew Kyle Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V Le
- EMNLP 2023 Main
- Readers: Everyone
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V Le, Barret Zoph, Jason Wei, Adam Roberts
- ICML 2023 Poster
- Readers: Everyone
Few Shot Hematopoietic Cell Classification
Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel Saltz
- Published: 04 Apr 2023, Last Modified: 30 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
Large scale shadow annotation and detection using lazy annotation and stacked CNNs
Le Hou, Tomas F Yago Vicente, Minh Hoai, Dimitris Samaras
- 18 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 19 publications

Co-Authors

View all 85 co-authors