Improving Anchor-based Explanations. - Julien Delaunay; Luis Galárraga; Christine Largouët (CIKM, 2020)

REMI: Mining Intuitive Referring Expressions on Knowledge Bases. - Luis Galárraga; Julien Delaunay; Jean-Louis Dessalles (EDBT, 2020)

When Should We Use Linear Explanations? - Julien Delaunay; Luis Galárraga; Christine Largouët (CIKM, 2022)

s-LIME: Reconciling Locality and Fidelity in Linear Explanations. - Romaric Gaudel; Luis Galárraga; Julien Delaunay; Laurence Rozé; Vaishnavi Bhargava (IDA, 2022)

"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation. - Antoine Chaffin; Julien Delaunay (BlackboxNLP@EMNLP, 2023)

"Honey, Tell Me What's Wrong", Explicabilité Globale des Modèles de TAL par la Génération Coopérative. - Antoine Chaffin; Julien Delaunay (CORIA-TALN (1), 2023)

A Comprehensive Survey of Document-level Relation Extraction (2016-2023). - Julien Delaunay; Tran Thi Hong Hanh; Carlos-Emiliano González-Gallardo; Georgeta Bordea; Nicolas Sidere; Antoine Doucet (CoRR, 2023)

Explainability for Machine Learning Models: From Data Adaptability to User Perception: Strategies for Faithful and Understandable Explanations. (Explicabilité des modèles d'apprentissage automatique : De l'adaptabilité des données à la perception de l'utilisateur / Explicabilité des modèles d'apprentissage automatique : De l'adaptabilité des données à la perception de l'utilisateur: Stratégies pour des explications fidèles et compréhensibles). - Julien Delaunay (2023)

CoastTerm: A Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature. - Julien Delaunay; Tran Thi Hong Hanh; Carlos-Emiliano González-Gallardo; Georgeta Bordea; Mathilde Ducos; Nicolas Sidere; Antoine Doucet; Senja Pollak; Olivier de Viron (TSD (1), 2024)

Is Prompting What Term Extraction Needs? - Tran Thi Hong Hanh; Carlos-Emiliano González-Gallardo; Julien Delaunay; Antoine Doucet; Senja Pollak (TSD (1), 2024)

Explainability for Machine Learning Models: From Data Adaptability to User Perception. - Julien Delaunay (CoRR, 2024)

Does It Make Sense to Explain a Black Box With Another Black Box? - Julien Delaunay; Luis Galárraga; Christine Largouët (CoRR, 2024)

Impact of Explanation Techniques and Representations on Users' Comprehension and Confidence in Explainable AI. - Julien Delaunay; Luis Galárraga; Christine Largouët; Niels van Berkel (Proc. ACM Hum. Comput. Interact., 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade–Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)