Julien Delaunay

21 papers A 2B 2Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Recent Advances in Automatic Term Extraction: A Comprehensive Survey. ACM Comput. Surv. Tran Thi Hong Hanh, Matej Martinc, Jaya Caporusso, Julien Delaunay, Antoine Doucet, Senja Pollak
2025	J	`jnl`	AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. CoRR Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade-Montixi, Kurt D. Bollacker, Felix Friedrich, Ryan Tsang, Bertie Vidgen, Alicia Parrish, Chris Knotz, Eleonora Presani, Jonathan Bennion, Marisa Ferrara Boston, Mike Kuniavsky, Wiebke Hutiri, James Ezick, Malek Ben Salem, Rajat Sahay, Sujata S. Goswami, Usman Gohar, Ben Huang, Supheakmungkol Sarin, Elie Alhajjar, Canyu Chen, Roman Eng, Kashyap Ramanandula Manjusha, Virendra Mehta, Eileen Long, Murali Emani, Natan Vidra, Benjamin Rukundo, Abolfazl Shahbazi, Kongtao Chen, Rajat Ghosh, Vithursan Thangarasa, Pierre Peigné, Abhinav Singh, Max Bartolo, Satyapriya Krishna, Mubashara Akhtar, Rafael Gold, Cody Coleman, Luis Oala, Vassil Tashev, Joseph Marvin Imperial, Amy Russ, Sasidhar Kunapuli, Nicolas Miailhe, Julien Delaunay, Bhaktipriya Radharapu, Rajat Shinde, Tuesday, Debojyoti Dutta, Declan Grabb, Ananya Gangavarapu, Saurav Sahay, Agasthya Gangavarapu, Patrick Schramowski, Stephen Singam, Tom David, Xudong Han, Priyanka Mary Mammen, Tarunima Prabhakar, Venelin Kovatchev, Ahmed Ahmed, Kelvin N. Manyeki, Sandeep Madireddy, Foutse Khomh, Fedor Zhdanov, Joachim Baumann, Nina Vasan, Xianjun Yang, Carlos Mougn, Jibin Rajan Varghese, Hussain Chinoy, Seshakrishna Jitendar, Manil Maskey, Claire V. Hardgrove, Tianhao Li, Aakash Gupta, Emil Joswin, Yifan Mai, Shachi H. Kumar, Cigdem Patlak, Kevin Lu, Vincent Alessi, Sree Bhargavi Balija, Chenhe Gu, Robert Sullivan, James Gealy, Matt Lavrisa, James Goel, Peter Mattson, Percy Liang, Joaquin Vanschoren
2025	J	`jnl`	Impact of Explanation Techniques and Representations on Users' Comprehension and Confidence in Explainable AI. Proc. ACM Hum. Comput. Interact. Julien Delaunay, Luis Galárraga, Christine Largouët, Niels van Berkel
2025	—	`conf`	Multidisciplinary End-to-End Document-Level Relation Extraction from Scientific Literature. ICDAR (4) Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Nicolas Sidere, Antoine Doucet, Olivier de Viron
2025	—	`conf`	Tracing the Evolution of Coastal Scientific Literature in Scopus (1970-2023). TPDL (Short Papers and Workshops) Julien Delaunay, Marc-Alexis Azaïs, Dipendra Sharma Kafle, Nicolas Sidere, Antoine Doucet, Olivier de Viron
2024	—	`conf`	CoastTerm: A Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature. TSD (1) Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Mathilde Ducos, Nicolas Sidere, Antoine Doucet, Senja Pollak, Olivier de Viron
2024	J	`jnl`	CoastTerm: a Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature. CoRR Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Mathilde Ducos, Nicolas Sidere, Antoine Doucet, Senja Pollak, Olivier de Viron
2024	J	`jnl`	Does It Make Sense to Explain a Black Box With Another Black Box? CoRR Julien Delaunay, Luis Galárraga, Christine Largouët
2024	J	`jnl`	Explainability for Machine Learning Models: From Data Adaptability to User Perception. CoRR Julien Delaunay
2024	—	`conf`	Is Prompting What Term Extraction Needs? TSD (1) Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Julien Delaunay, Antoine Doucet, Senja Pollak
2023	—	`conf`	"Honey, Tell Me What's Wrong", Explicabilité Globale des Modèles de TAL par la Génération Coopérative. CORIA-TALN (1) Antoine Chaffin, Julien Delaunay
2023	—	`conf`	"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation. BlackboxNLP@EMNLP Antoine Chaffin, Julien Delaunay
2023	J	`jnl`	"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation. CoRR Antoine Chaffin, Julien Delaunay
2023	J	`jnl`	A Comprehensive Survey of Document-level Relation Extraction (2016-2023). CoRR Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Nicolas Sidere, Antoine Doucet
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
2022	A	`conf`	When Should We Use Linear Explanations? CIKM Julien Delaunay, Luis Galárraga, Christine Largouët
2022	B	`conf`	s-LIME: Reconciling Locality and Fidelity in Linear Explanations. IDA Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava
2022	J	`jnl`	s-LIME: Reconciling Locality and Fidelity in Linear Explanations. CoRR Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava
2020	A	`conf`	Improving Anchor-based Explanations. CIKM Julien Delaunay, Luis Galárraga, Christine Largouët
2020	B	`conf`	REMI: Mining Intuitive Referring Expressions on Knowledge Bases. EDBT Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles
2019	J	`jnl`	REMI: Mining Intuitive Referring Expressions on Knowledge Bases. CoRR Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles