Corentin LEGER
Scholar

Corentin LEGER

Google Scholar ID: V-qyPxkAAAAJ
Research Engineer, Huawei Noah's Ark Lab
Reinforcement LearningMulti-agent systemsLarge Language Models
Citations & Impact
All-time
Citations
37
 
H-index
3
 
i10-index
2
 
Publications
8
 
Co-authors
14
list available
Publications
8 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers including 'Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies' and 'In-Context Meta-Learning with Large Language Models for Automated Model and Hyperparameter Selection'.
Research Experience
  • Currently a Research Engineer at Huawei Noah's Ark Lab in Paris, supervised by Balázs Kégl. Previously, he was a Research Engineer at Inria's Flowers lab, supervised by Clément Moulin Frier.
Education
  • Master of Science in Computer and Cognitive Sciences from ENSC. Interned at Connectiv-IT as a Data Scientist and at Inria Flowers for Reinforcement Learning research.
Background
  • Artificial Intelligence Research Engineer, with research interests in Large Language Models (LLMs), AutoML, and Reinforcement Learning (RL). Previously worked at Inria's Flowers lab, developing multi-agent systems.
Miscellany
  • Enjoys sports, particularly volleyball, and won a bronze medal in the 2023 French University Championship.