Hou, Le

12 publications

NeurIPSW 2024 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

ICLR 2024 Enabling Lanuguage Models to Implicitly Learn Self-Improvement Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji

ICLR 2024 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

JMLR 2024 Scaling Instruction-Finetuned Language Models Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

ICLR 2023 Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji

ICLR 2023 Least-to-Most Prompting Enables Complex Reasoning in Large Language Models Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V Le, Ed H. Chi

ICML 2023 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

ICLR 2019 Label Super-Resolution Networks Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel Saltz, Lucas Joppa, Nebojsa Jojic

WACV 2017 Center-Focusing Multi-Task CNN with Injected Features for Classification of Glioma Nuclear Images Veda Murthy, Le Hou, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz

AISTATS 2017 ConvNets with Smooth Adaptive Activation Functions for Regression Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Joel H. Saltz

ECCV 2016 Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples Tomás F. Yago Vicente, Le Hou, Chen-Ping Yu, Minh Hoai, Dimitris Samaras

CVPR 2016 Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification Le Hou, Dimitris Samaras, Tahsin M. Kurc, Yi Gao, James E. Davis, Joel H. Saltz