2 papers
cs.CL2026
DeepStress: Stress-Testing Deep Search Agents
Ismael Rousseau, Geraldine Damnati, Frederic Bechet
While search agents demonstrate impressive capabilities in multi-step question answering, their robustness to poor-quality evidence remains under-explored. This phenomenon occurs r…
cs.CL2025
O_FT@EvalLLM2025 : étude comparative de choix de données et de stratégies d'apprentissage pour l'adaptation de modèles de langue à un domaine
Ismaël Rousseau, Claire Perroux, Pierre Adam +5
This paper presents the work carried out by the O_FT team, joint with Orange and Ouest-France, on adapting language models to the defense domain as part of the EvalLLM2025 challeng…