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Thibault Le Sellier de Chezelles

2 accepted papers

2025

How to Train Your LLM Web Agent: A Statistical Diagnosis

NeurIPS 2025poster

Large language model (LLM) agents for web interfaces have advanced rapidly, yet open-source systems still lag behind proprietary agents. Bridging this gap is key to enabling customizable, efficient, and privacy-preserving agents. Two challenges hinder progress: the reproducibility issues in RL and L…

Cited by 0SourceScholar
2024

WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks

NeurIPS 2024poster

The ability of large language models (LLMs) to mimic human-like intelligence has led to a surge in LLM-based autonomous agents. Though recent LLMs seem capable of planning and reasoning given user instructions, their effectiveness in applying these capabilities for autonomous task solving remains u…