Publications



21 documents

Articles dans une revue

  • Fanny Ducel, Aurélie Névéol, Karën Fort. "You'll be a nurse, my son!" Automatically Assessing Gender Biases in Autoregressive Language Models in French and Italian. Language Resources and Evaluation, 2024, pp.1495-1523. ⟨10.1007/s10579-024-09780-6⟩. ⟨hal-04803403⟩

Communications dans un congrès

  • Karën Fort. Les enjeux éthiques de l’IA vus depuis le traitement automatique des langues. Journée de lancement du projet Insight, Dec 2025, Nancy, France. ⟨hal-05397834⟩
  • Alberto Muñoz-Ortiz, David Vilares, Caio Corro, Carlos Gómez-Rodríguez. Nested Named Entity Recognition as Single-Pass Sequence Labeling. EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2025, Suzhou, China. pp.9993-10002, ⟨10.18653/v1/2025.findings-emnlp.530⟩. ⟨hal-05457961⟩
  • Karën Fort. Large Language Models: the challenge of evaluation. CLiC-it 2025 - Eleventh Conference on Computational Linguistics, Sep 2025, Cagliari, Italy. ⟨hal-05397849⟩
  • Caio Corro, Mathieu Lacroix, Joseph Le Roux. Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms. ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Jul 2025, Vienne, Austria. pp.29557-29574, ⟨10.18653/v1/2025.acl-long.1430⟩. ⟨hal-05360479⟩
  • Fanny Ducel, Karën Fort, Aurélie Névéol. La linguistique appliquée pour une IA plus éthique. NéALA 2025 - Colloque sur Naturel et Artificiel en Linguistique Appliquée : une époque de paradoxes, Jul 2025, Nancy, France. ⟨hal-05457534⟩
  • Clémentine Bleuze, Fanny Ducel, Maxime Amblard, Karën Fort. « De nos jours, ce sont les résultats qui comptent » : création et étude diachronique d'un corpus de revendications issues d'articles de TAL. TALN 2025 - 32ème Conférence sur le Traitement Automatique des Langues Naturelles, Jul 2025, Marseille, France. ⟨hal-05282966⟩
  • Fanny Ducel, Nicolas Hiebel, Olivier Ferret, Karën Fort, Aurélie Névéol. « Les femmes ne font pas de crise cardiaque ! » Étude des biais de genre dans les cas cliniques synthétiques en français. 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN 2025), Jul 2025, Marseille, France. pp.1. ⟨hal-05282965⟩
  • Fanny Ducel, Jeffrey André, Aurélie Névéol, Karën Fort. Introducing MascuLead: the First Gender Bias Leaderboard. EALM 2025 - Ethic and Alignment of (Large) Language Models, Jun 2025, Marseille, France. pp.12-19. ⟨hal-05282981⟩
  • Fanny Ducel, Nicolas Hiebel, Olivier Ferret, Karën Fort, Aurélie Névéol. "Women do not have heart attacks!" Gender Biases in Automatically Generated Clinical Cases in French. NAACL 2025 - Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, Apr 2025, Albuquerque, United States. pp.7145-7159, ⟨10.18653/v1/2025.findings-naacl.398⟩. ⟨hal-04938811⟩
  • Elie Dina, Rania Ayachi Kibech, Miguel Couceiro. EDAR: A pipeline for Emotion and Dialogue Act Recognition. The 31st International Conference on Computational Linguistics (COLING 2025), Jan 2025, Abu Dhabi, United Arab Emirates. ⟨hal-04878084⟩
  • Ayoub Hammal, Benno Uthayasooriyar, Caio Corro. Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection. COLING 2025 - 31st International Conference on Computational Linguistics, Jan 2025, Abu Dhabi, United Arab Emirates. pp.9902-9916, ⟨10.48550/arxiv.2412.00426⟩. ⟨hal-04877776⟩
  • Fanny Ducel, Aurélie Névéol, Karën Fort. Desiderata for Actionable Bias Research. New Perspectives on Bias and Discrimination in Language Technology, Nov 2024, Amsterdam, Netherlands. ⟨hal-04755691⟩
  • Mohammed Rameez Rameez Qureshi, Naïm Es-Sebbani, Luis Galárraga, Yvette Graham, Miguel Couceiro, et al.. REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement Learning. ECAI 2024 - 27th European Conference on Artificial Intelligence, Oct 2024, Santiago de Compostela, Spain. pp.4027-4034, ⟨10.3233/FAIA240970⟩. ⟨hal-04872144⟩
  • Ajinkya Kulkarni, Atharva Kulkarni, Isabel Trancoso, Miguel Couceiro. Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems. Interspeech 2024, Sep 2024, Kos / Greece, Greece. ⟨hal-04610235⟩
  • Fanny Ducel, Aurélie Névéol, Karën Fort. Évaluation automatique des biais de genre dans des modèles de langue auto-régressifs. 31ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN 2024), Jul 2024, Toulouse, France. pp.64-84. ⟨hal-04621134⟩
  • Clément Morand, Anne-Laure Ligozat, Aurélie Névéol. MLCA: a tool for Machine Learning Life Cycle Assessment. 2024 10th International Conference on ICT for Sustainability (ICT4S), Jun 2024, Stockholm, Sweden. pp.227-238, ⟨10.1109/ICT4S64576.2024.00031⟩. ⟨hal-04643414⟩
  • Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte. A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2024), Fabro Steibel, Meg Young, Ricardo Baeza-Yates, Jun 2024, Rio de Janeiro (BR), Brazil. pp.279-289, ⟨10.1145/3630106.3658905⟩. ⟨hal-04568343⟩
  • Ajinkya Kulkarni, Anna Tokareva, Mohammed Rameez Qureshi, Miguel Couceiro. The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese. EACL 2024 LT-EDI WorkShop, Mar 2024, St. Julians, Malta. ⟨hal-04436147⟩

Pré-publications, Documents de travail

  • Clément Morand, Anne-Laure Ligozat, Aurélie Névéol. The Environmental Impacts of Machine Learning Training Keep Rising Evidencing Rebound Effect. 2025. ⟨hal-04839926v5⟩
  • Clément Morand, Anne-Laure Ligozat, Aurélie Névéol. Characterizing Goals and Impacts of Digitalization: The Case of Promises in French Healthcare Policies. 2025. ⟨hal-05066176⟩