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Le Hou — most-cited papers & profile · Large Language Models
← authors
·
overview
Le Hou
11
papers ·
232
citations
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Most-cited papers
Symbol tuning improves in-context learning in language models
2023 · 25 citations
Large Language Models Can Self-Improve
2022 · 24 citations
Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
2023 · 20 citations
Towards Expert-Level Medical Question Answering with Large Language Models
2023
PaLM 2 Technical Report
2023
Enable Language Models to Implicitly Learn Self-Improvement From Data
2023
Towards Accurate Differential Diagnosis with Large Language Models
2023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
2024
Capabilities of Gemini Models in Medicine
2024
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
2024
Top co-authors
Denny Zhou
· 4
Hongkun Yu
· 4
Yong Cheng
· 4
Alan Karthikesalingam
· 3
Albert Webson
· 3
Christopher Semturs
· 3
Ewa Dominowska
· 3
Joelle Barral
· 3
Juraj Gottweis
· 3
Melvin Johnson
· 3
Mike Schaekermann
· 3
Shekoofeh Azizi
· 3
Topics
Fine-Tuning
Evaluation
Training Techniques
Model Architecture
Prompting
Efficiency
In-Context Learning
Vision-Language
Reinforcement Learning
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