Changement stylistique de phrases par apprentissage faiblement supervisé (Textual Style Transfer using Weakly Supervised Learning). - Damien Sileo; Camille Pradel; Philippe Muller; Tim Van de Cruys (TALN (2), 2017)

Synapse at CAp 2017 NER challenge: Fasttext CRF. - Damien Sileo; Camille Pradel; Philippe Muller; Tim Van de Cruys (CoRR, 2017)

Analyse en rôles sémantiques pour le résumé automatique. - Elyase Lassouli; Yasmine Mesbahi; Camille Pradel; Damien Sileo (EGC, 2018)

Concaténation de réseaux de neurones pour la classification de tweets, DEFT2018 (Concatenation of neural networks for tweets classification, DEFT2018 ). - Damien Sileo; Tim Van de Cruys; Philippe Muller; Camille Pradel (CORIA-TALN-RJC (DeFT), 2018)

Mining Discourse Markers for Unsupervised Sentence Representation Learning. - Damien Sileo; Tim Van de Cruys; Camille Pradel; Philippe Muller (NAACL-HLT (1), 2019)

Composition of Embeddings : Lessons from Statistical Relational Learning. - Damien Sileo; Tim Van de Cruys; Camille Pradel; Philippe Muller (*SEM@NAACL-HLT, 2019)

Aprentissage non-supervisé pour l'appariement et l'étiquetage de cas cliniques en français - DEFT2019 (Unsupervised learning for matching and labelling of french clincal cases - DEFT2019 ). - Damien Sileo; Tim Van de Cruys; Philippe Muller; Camille Pradel (PFIA (Défi Fouille de Textes), 2019)

Composition of Sentence Embeddings: Lessons from Statistical Relational Learning. - Damien Sileo; Tim Van de Cruys; Camille Pradel; Philippe Muller (CoRR, 2019)

Discourse-Based Evaluation of Language Understanding. - Damien Sileo; Tim Van de Cruys; Camille Pradel; Philippe Muller (CoRR, 2019)

Semantic and Discursive Representation for Natural Language Understanding. (Représentations sémantiques et discursives pour la compréhension automatique du langage naturel). - Damien Sileo (2019)

Question Answering When Knowledge Bases are Incomplete. - Camille Pradel; Damien Sileo; Álvaro Rodrigo; Anselmo Peñas; Eneko Agirre (CLEF, 2020)

DiscSense: Automated Semantic Analysis of Discourse Markers. - Damien Sileo; Tim Van de Cruys; Camille Pradel; Philippe Muller (LREC, 2020)

LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features. - Erfan Ghadery; Damien Sileo; Marie-Francine Moens (SemEval@ACL/IJCNLP, 2021)

Visual Grounding Strategies for Text-Only Natural Language Processing. - Damien Sileo (CoRR, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Zero-Shot Recommendation as Language Modeling. - Damien Sileo; Wout Vossen; Robbe Raymaekers (ECIR (2), 2022)

Analysis and Prediction of NLP Models via Task Embeddings. - Damien Sileo; Marie-Francine Moens (LREC, 2022)

A Pragmatics-Centered Evaluation Framework for Natural Language Understanding. - Damien Sileo; Philippe Muller; Tim Van de Cruys; Camille Pradel (LREC, 2022)

MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic. - Damien Sileo; Antoine Lernould (EMNLP (Findings), 2023)

Probing neural language models for understanding of words of estimative probability. - Damien Sileo; Marie-Francine Moens (*SEM@ACL, 2023)

tasksource: Structured Dataset Preprocessing Annotations for Frictionless Extreme Multi-Task Learning and Evaluation. - Damien Sileo (CoRR, 2023)

When Do Discourse Markers Affect Computational Sentence Understanding? - Ruiqi Li; Liesbeth Allein; Damien Sileo; Marie-Francine Moens (CoRR, 2023)

Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence. - Wei Sun; Mingxiao Li; Damien Sileo; Jesse Davis; Marie-Francine Moens (CoRR, 2023)

The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI. - Shayne Longpre; Robert Mahari; Anthony Chen; Naana Obeng-Marnu; Damien Sileo; William Brannon; Niklas Muennighoff; Nathan Khazam; Jad Kabbara; Kartik Perisetla; Xinyi Wu; Enrico Shippole; et al. (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

DISRPT: A Multilingual, Multi-domain, Cross-framework Benchmark for Discourse Processing. - Chloé Braud; Amir Zeldes; Laura Rivière; Yang Janet Liu; Philippe Muller; Damien Sileo; Tatsuya Aoyama (LREC/COLING, 2024)

tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework. - Damien Sileo (LREC/COLING, 2024)

Generating Multiple-choice Questions for Medical Question Answering with Distractors and Cue-masking. - Damien Sileo; Kanimozhi Uma; Marie-Francine Moens (LREC/COLING, 2024)

Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars. - Damien Sileo (CoRR, 2024)

Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation. - Damien Sileo (CoRR, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (CoRR, 2024)

TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods. - Gabriel Loiseau; Damien Sileo; Damien Riquet; Maxime Meyer; Marc Tommasi (CoRR, 2024)