Jérémie Bogaert

According to our database, Jérémie Bogaert authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Sensivity of LLMs' Explanations to the Training Randomness:Context, Class & Task Dependencies.

Romain Loncour, Jérémie Bogaert, François-Xavier Standaert

CoRR, March, 2026

2025

Consolidating Explanation Stability Metrics.

Jérémie Bogaert, Antonin Descampe, François-Xavier Standaert

Proceedings of the Explainable Artificial Intelligence, 2025

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

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

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

Does a Reduced Fine-Tuning Surface Impact the Stability of the Explanations of LLMs?

Jérémie Bogaert, François-Xavier Standaert

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

Fine-tuning is not (always) overfitting artifacts.

Jérémie Bogaert, Emmanuel Jean, Cyril de Bodt, François-Xavier Standaert

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Automatic and Manual Detection of Generated News: Case Study, Limitations and Challenges.

Jérémie Bogaert, Marie-Catherine de Marneffe, Antonin Descampe, François-Xavier Standaert

Proceedings of the MAD@ICMR 2022: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation, Newark, NJ, USA, June 27, 2022