papers

Publications (37)

cs.AI2023

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Shayne Longpre, Le Hou, Tu Vu +8

cs.CL2022

Token Dropping for Efficient BERT Pretraining

Le Hou, Richard Yuanzhe Pang, Tianyi Zhou +4

cs.CL2025

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Rohan Anil, Sebastian Borgeaud +1340

cs.AI2024

Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision

Zihan Wang, Yunxuan Li, Yuexin Wu +4

cs.CL2024

NATURAL PLAN: Benchmarking LLMs on Natural Language Planning

Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang +8

cs.CV2020

Label Super Resolution with Inter-Instance Loss

Maozheng Zhao, Le Hou, Han Le +8

cs.AI2024

Towards Conversational Diagnostic AI

Tao Tu, Anil Palepu, Mike Schaekermann +22

eess.IV2020

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer

Han Le, Rajarsi Gupta, Le Hou +12

cs.LG2020

Talking-Heads Attention

Noam Shazeer, Zhenzhong Lan, Youlong Cheng +2

cs.CL2023

Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation

Ziqi Wang, Yuexin Wu, Frederick Liu +5

cs.CL2022

Large Language Models Can Self-Improve

Jiaxin Huang, Shixiang Shane Gu, Le Hou +4

cs.CV2017

Unsupervised Histopathology Image Synthesis

Le Hou, Ayush Agarwal, Dimitris Samaras +3

cs.LG2019

Exascale Deep Learning to Accelerate Cancer Research

Robert M. Patton, J. Travis Johnston, Steven R. Young +9

cs.CL2023

PaLM 2 Technical Report

Rohan Anil, Andrew M. Dai, Orhan Firat +125

cs.CL2023

Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models

Sheng Shen, Le Hou, Yanqi Zhou +17

cs.CL2024

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Petko Georgiev, Ving Ian Lei +1132

cs.CL2023

Towards Expert-Level Medical Question Answering with Large Language Models

Karan Singhal, Tao Tu, Juraj Gottweis +28

cs.AI2023

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Denny Zhou, Nathanael Schärli, Le Hou +8

eess.IV2019

High Resolution Medical Image Analysis with Spatial Partitioning

Le Hou, Youlong Cheng, Noam Shazeer +6

cs.CY2023

Towards Accurate Differential Diagnosis with Large Language Models

Daniel McDuff, Mike Schaekermann, Tao Tu +25

cs.LG2024

Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning

Kaiwen Wang, Rahul Kidambi, Ryan Sullivan +17

cs.CV2016

Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification

Le Hou, Dimitris Samaras, Tahsin M. Kurc +3

eess.IV2020

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types

Le Hou, Rajarsi Gupta, John S. Van Arnam +5

cs.CL2025

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

cs.CV2017

Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images

Veda Murthy, Le Hou, Dimitris Samaras +2

cs.CL2023

Symbol tuning improves in-context learning in language models

Jerry Wei, Le Hou, Andrew Lampinen +8

cs.CL2024

Improving Multi-Agent Debate with Sparse Communication Topology

Yunxuan Li, Yibing Du, Jiageng Zhang +4

cs.AI2024

Capabilities of Gemini Models in Medicine

Khaled Saab, Tao Tu, Wei-Hung Weng +64

cs.CL2024

Enabling Language Models to Implicitly Learn Self-Improvement

Ziqi Wang, Le Hou, Tianjian Lu +4

cs.LG2022

Scaling Instruction-Finetuned Language Models

Hyung Won Chung, Le Hou, Shayne Longpre +32

eess.IV2019

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types

Shahira Abousamra, Le Hou, Rajarsi Gupta +7

cs.CV2016

Neural Networks with Smooth Adaptive Activation Functions for Regression

Le Hou, Dimitris Samaras, Tahsin M. Kurc +2

cs.LG2021

Speeding up Deep Model Training by Sharing Weights and Then Unsharing

Shuo Yang, Le Hou, Xiaodan Song +2

cs.CL2024

Distilling Text Style Transfer With Self-Explanation From LLMs

Chiyu Zhang, Honglong Cai, Yuezhang +4

cs.CV2017

Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

Le Hou, Chen-Ping Yu, Dimitris Samaras

cs.CV2017

Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

Le Hou, Vu Nguyen, Dimitris Samaras +4

cs.CL2023

Instruction-Following Evaluation for Large Language Models

Jeffrey Zhou, Tianjian Lu, Swaroop Mishra +5