Automatic and Manual Detection of Generated News: Case Study, Limitations and Challenges. - Jérémie Bogaert; Marie-Catherine de Marneffe; Antonin Descampe; François-Xavier Standaert (MAD@ICMR, 2022)

Fine-tuning is not (always) overfitting artifacts. - Jérémie Bogaert; Emmanuel Jean; Cyril de Bodt; François-Xavier Standaert (ESANN, 2023)

Does a Reduced Fine-Tuning Surface Impact the Stability of the Explanations of LLMs? - Jérémie Bogaert; François-Xavier Standaert (ESANN, 2024)

A Question on the Explainability of Large Language Models and the Word-Level Univariate First-Order Plausibility Assumption. - Jérémie Bogaert; François-Xavier Standaert (CoRR, 2024)

User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study. - Julien Albert; Martin Balfroid; Miriam Doh; Jérémie Bogaert; Luca La Fisca; Liesbet De Vos; Bryan Renard; Vincent Stragier; Emmanuel Jean (CoRR, 2024)

Explanation sensitivity to the randomness of large language models: the case of journalistic text classification. - Jérémie Bogaert; Marie-Catherine de Marneffe; Antonin Descampe; Louis Escouflaire; Cédrick Fairon; François-Xavier Standaert (CoRR, 2024)