Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks. - Evan Dufraisse; Philippe Leray 001; Raphaël Nedellec; Tarek Benkhelif (PGM, 2020)

Don't Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations. - Evan Dufraisse; Célina Treuillier; Armelle Brun; Julien Tourille; Sylvain Castagnos; Adrian Popescu 001 (PoliticalNLP@LREC, 2022)

Being Diverse is Not Enough: Rethinking Diversity Evaluation to Meet Challenges of News Recommender Systems. - Célina Treuillier; Sylvain Castagnos; Evan Dufraisse; Armelle Brun (UMAP (Adjunct Publication), 2022)

MAD-TSC: A Multilingual Aligned News Dataset for Target-dependent Sentiment Classification. - Evan Dufraisse; Adrian Popescu 001; Julien Tourille; Armelle Brun; Jérôme Deshayes (ACL (1), 2023)

Combining Objective and Subjective Perspectives for Political News Understanding. - Evan Dufraisse; Adrian Popescu 001; Julien Tourille; Armelle Brun; Olivier Hamon (CoRR, 2024)

Automatic News Analysis for Polarization Understanding. (Analyse automatique des news pour la compréhension de la polarisation). - Evan Dufraisse (2024)

Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification. - Akram Elbouanani; Evan Dufraisse; Adrian Popescu 001 (ACL (Findings), 2025)

The Lucie-7B LLM and the Lucie Training Dataset: Open resources for multilingual language generation. - Olivier Gouvert; Julie Hunter; Jérôme Louradour; Christophe Cerisara; Evan Dufraisse; Yaya Sy; Laura Rivière; Jean-Pierre Lorré; OpenLLM-France community (CoRR, 2025)

Decompositional Reasoning for Graph Retrieval with Large Language Models. - Valentin Six; Evan Dufraisse; Gaël de Chalendar (CoRR, 2025)

CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text. - Akram Elbouanani; Evan Dufraisse; Aboubacar Tuo; Adrian Popescu 001 (CoRR, 2025)