Skip to content

Le Hou

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

19

Venues

9

Active years

2016–2024

Best venue rank

A*

Where they publish

Papers

19 indexed papers, newest first.

YearVenueTitleAuthors
2024EMNLPImproving Multi-Agent Debate with Sparse Communication Topology.Yunxuan Li, Yibing Du, Jiageng Zhang, Le Hou, Peter Grabowski, Yeqing Li, Eugene Ie
2024EMNLPConditional 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, Avinava Dubey, Alexandre Ram, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Lonard Hussenot, Olivier Bachem, Edouard Leurent
2024EMNLPMulti-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
2024ICLREnabling Lanuguage Models to Implicitly Learn Self-Improvement.Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
2024ICLRMixture-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
2024NAACLDistilling Text Style Transfer With Self-Explanation From LLMs.Chiyu Zhang, Honglong Cai, Yuezhang Li, Yuexin Wu, Le Hou, Muhammad Abdul-Mageed
2023EMNLPLarge Language Models Can Self-Improve.Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
2023EMNLPSymbol tuning improves in-context learning in language models.Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le
2023ICLRAugmentation 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
2023ICLRLeast-to-Most Prompting Enables Complex Reasoning in Large Language Models.Denny Zhou, Nathanael Schrli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi
2023ICMLThe 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
2022ACLToken Dropping for Efficient BERT Pretraining.Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
2019CVPRRobust Histopathology Image Analysis: To Label or to Synthesize?Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kur, Rajarsi R. Gupta, Joel H. Saltz
2019CVPRLarge Scale High-Resolution Land Cover Mapping With Multi-Resolution Data.Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
2019ICLRLabel super-resolution networks.Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic
2017AISTATSConvNets with Smooth Adaptive Activation Functions for Regression.Le Hou, Dimitris Samaras, Tahsin M. Kur, Yi Gao, Joel H. Saltz
2017WACVCenter-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images.Veda Murthy, Le Hou, Dimitris Samaras, Tahsin M. Kur, Joel H. Saltz
2016CVPRPatch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification.Le Hou, Dimitris Samaras, Tahsin M. Kur, Yi Gao, James E. Davis, Joel H. Saltz
2016ECCVLarge-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples.Toms F. Yago Vicente, Le Hou, Chen-Ping Yu, Minh Hoai, Dimitris Samaras