| 2026 | ECIR | RAC: Retrieval-Augmented Clarification for Faithful Conversational Search. | Ahmed Rayane Kebir, Vincent Guigue, Lynda Said L'Hadj, Laure Soulier |
| 2026 | ICTIR | Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation. | Ben Kabongo, Arthur Satouf, Vincent Guigue |
| 2026 | PAKDD | On the Factual Consistency of Text-Based Explainable Recommendation Models. | Ben Kabongo, Vincent Guigue |
| 2026 | SAC | Personalized Sequence Generation in Food Recommender Systems. | Alexandre Combeau, Vincent Guigue, Cristina E. Manfredotti, Fatiha Sas, Stphane Dervaux, Paolo Viappiani |
| 2025 | ICLR | SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation. | Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari |
| 2025 | PAKDD | SEval-EX: A Statement-Level Framework for Explainable Summarization Evaluation. | Tanguy Herserant, Vincent Guigue |
| 2025 | SIGIR | Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation. | Anfu Tang, Laure Soulier, Vincent Guigue |
| 2024 | EACL | LOCOST: State-Space Models for Long Document Abstractive Summarization. | Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari |
| 2024 | ECIR | Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QA. | Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier |
| 2023 | DSAA | Interpretable time series neural representation for classification purposes. | Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue |
| 2023 | EMNLP | Improving generalization in large langue model by learning prefix subspaces. | Louis Falissard, Vincent Guigue, Laure Soulier |
| 2023 | RecSys | Of Spiky SVDs and Music Recommendation. | Darius Afchar, Romain Hennequin, Vincent Guigue |
| 2023 | SAC | Dynamic Named Entity Recognition. | Tristan Luiggi, Vincent Guigue, Laure Soulier, Siwar Jendoubi, Aurlien Baelde |
| 2021 | EMNLP | Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. | Bruno Taill, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari |
| 2021 | ICML | Towards Rigorous Interpretations: a Formalisation of Feature Attribution. | Darius Afchar, Vincent Guigue, Romain Hennequin |
| 2020 | ECIR | Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. | Bruno Taill, Vincent Guigue, Patrick Gallinari |
| 2020 | EMNLP | Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! | Bruno Taill, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari |
| 2020 | ESANN | Time Series Prediction using Disentangled Latent Factors. | Perrine Cribier-Delande, Raphal Puget, Vincent Guigue, Ludovic Denoyer |
| 2020 | ESANN | Resume: A Robust Framework for Professional Profile Learning & Evaluation. | Clara Gainon de Forsan de Gabriac, Constance Scherer, Amina Djelloul, Vincent Guigue, Patrick Gallinari |
| 2019 | ACL | Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses. | tienne Simon, Vincent Guigue, Benjamin Piwowarski |
| 2018 | ESANN | Regularize and explicit collaborative filtering with textual attention. | Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari |
| 2017 | ESANN | Anomaly detection and characterization in smart card logs using NMF and Tweets. | Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari |
| 2015 | ESANN | Designing semantic feature spaces for brain-reading. | Luepol Pipanmaekaporn, Ludmilla Tajtelbom, Vincent Guigue, Thierry Artires |
| 2015 | RecSys | Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. | lie Gurdia-Sebaoun, Vincent Guigue, Patrick Gallinari |
| 2015 | RecSys | Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. | Mickal Poussevin, Vincent Guigue, Patrick Gallinari |
| 2014 | SEFM | A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. | Debora Nozza, Daniele Maccagnola, Vincent Guigue, Enza Messina, Patrick Gallinari |
| 2012 | ICWSM | Coping with the Document Frequency Bias in Sentiment Classification. | Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari |
| 2005 | ESANN | Translation invariant classification of non-stationary signals. | Vincent Guigue, Alain Rakotomamonjy, Stphane Canu |
| 2005 | ICANN | Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances. | Alain Rakotomamonjy, Vincent Guigue, Grgory Mallet, Victor Alvarado |