Vincent Guigue

86 papers A* 3A 3B 7Misc 1Journal 27Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	RAC: Retrieval-Augmented Clarification for Faithful Conversational Search. ECIR (1) Ahmed Rayane Kebir, Vincent Guigue, Lynda Said L'Hadj, Laure Soulier
2026	J	`jnl`	RAC: Retrieval-Augmented Clarification for Faithful Conversational Search. CoRR Ahmed Rayane Kebir, Vincent Guigue, Lynda Said L'Hadj, Laure Soulier
2025	J	`jnl`	AllSummedUp: un framework open-source pour comparer les metriques d'evaluation de resume. CoRR Tanguy Herserant, Vincent Guigue
2025	—	`conf`	Clarification des Ambiguïtés : Sur le Rôle des Types d'Ambiguïté dans les Méthodes d'Amorçage pour la Génération de Clarifications. CORIA Anfu Tang, Laure Soulier, Vincent Guigue
2025	A*	`conf`	Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation. SIGIR Anfu Tang, Laure Soulier, Vincent Guigue
2025	J	`jnl`	Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation. CoRR Anfu Tang, Laure Soulier, Vincent Guigue
2025	J	`jnl`	Drought forecasting using a hybrid neural architecture for integrating time series and static data. CoRR Julian Agudelo, Vincent Guigue, Cristina E. Manfredotti, Hadrien Piot
2025	J	`jnl`	ELIXIR: Efficient and LIghtweight model for eXplaIning Recommendations. CoRR Ben Kabongo, Vincent Guigue, Pirmin Lemberger
2025	—	`conf`	NutriKG - un graphe de connaissances pour modéliser les préférences et les besoins nutritionnels. IC Alexandre Combeau, Fatiha Saïs, Naggeta Kumari, Stéphane Dervaux, Cristina E. Manfredotti, Vincent Guigue, Paolo Viappiani
2025	J	`jnl`	On the Factual Consistency of Text-based Explainable Recommendation Models. CoRR Ben Kabongo, Vincent Guigue
2025	—	`conf`	Prédiction des préférences et génération de revue personnalisée basées sur les aspects et attention. CORIA Ben Kabongo, Vincent Guigue, Pirmin Lemberger
2025	A*	`conf`	SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation. ICLR Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2025	J	`jnl`	SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation. CoRR Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2025	—	`conf`	SEval-EX: A Statement-Level Framework for Explainable Summarization Evaluation. PAKDD (5) Tanguy Herserant, Vincent Guigue
2025	J	`jnl`	SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation. CoRR Tanguy Herserant, Vincent Guigue
2025	—	`conf`	Seval-ex : Un paradigme basé sur les phrases atomiques pour une évaluation explicable de la qualité des résumés. CORIA Tanguy Herserant, Vincent Guigue
2025	J	`jnl`	Towards Lighter and Robust Evaluation for Retrieval Augmented Generation. CoRR Alex-Razvan Ispas, Charles-Elie Simon, Fabien Caspani, Vincent Guigue
2025	—	`conf`	Transfert de modèles de langue pour la classification rhétorique des citations à travers les disciplines. CORIA Anne-Sophie Foussat, Vincent Guigue, Nicolas Sauvion, Robert Bossy, Claire Nédellec
2024	—	`conf`	CALM: Context Augmentation with Large Language Model for Named Entity Recognition. TPDL (1) Tristan Luiggi, Tanguy Herserant, Thong Tran, Laure Soulier, Vincent Guigue
2024	—	`conf`	LOCOST: Modèles Espace-État pour le Résumé Abstractif de Documents Longs. TALN (2) Florian Le Bronnec, Song Duong, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2024	—	`conf`	LOCOST: State-Space Models for Long Document Abstractive Summarization. EACL (1) Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2024	J	`jnl`	LOCOST: State-Space Models for Long Document Abstractive Summarization. CoRR Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2024	—	`conf`	Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire. EGC Noémie Jacquet, Vincent Guigue, Cristina E. Manfredotti, Fatiha Saïs, Stéphane Dervaux, Paolo Viappiani
2024	—	`conf`	Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QA. ECIR (3) Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier
2024	J	`jnl`	Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering. CoRR Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier
2024	—	`conf`	Naviguer dans l'incertitude : optimiser la dépendance aux API des systèmes question/réponse. CORIA Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier
2024	—	`conf`	O-CALM : Augmentation du contexte hors ligne avec un large language model pour la reconnaissance des entités nommées. CORIA Tanguy Herserant, Tristan Luiggi, Thong Tran, Vincent Guigue, Laure Soulier
2024	J	`jnl`	Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. Trans. Mach. Learn. Res. Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue
2023	—	`conf`	Apprentissage de sous-espaces de préfixes. CORIA-TALN Louis Falissard, Vincent Guigue, Laure Soulier
2023	Misc	`conf`	Dynamic Named Entity Recognition. SAC Tristan Luiggi, Vincent Guigue, Laure Soulier, Siwar Jendoubi, Aurélien Baelde
2023	J	`jnl`	Dynamic Named Entity Recognition. CoRR Tristan Luiggi, Laure Soulier, Vincent Guigue, Siwar Jendoubi, Aurélien Baelde
2023	—	`conf`	Extraction d'entités nommées à partir de descriptions d'espèces. CORIA-TALN Maya Sahraoui, Vincent Guigue, Régine Vignes-Lebbe, Marc Pignal
2023	J	`jnl`	Improving generalization in large language models by learning prefix subspaces. CoRR Louis Falissard, Vincent Guigue, Laure Soulier
2023	—	`conf`	Improving generalization in large langue model by learning prefix subspaces. EMNLP (Findings) Louis Falissard, Vincent Guigue, Laure Soulier
2023	B	`conf`	Interpretable time series neural representation for classification purposes. DSAA Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue
2023	J	`jnl`	Interpretable time series neural representation for classification purposes. CoRR Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue
2023	—	`conf`	Intégration du raisonnement numérique dans les modèles de langue : État de l'art et direction de recherche. CORIA-TALN Sarah Abchiche, Lynda Said L'Hadj, Vincent Guigue, Laure Soulier
2023	A	`conf`	Of Spiky SVDs and Music Recommendation. RecSys Darius Afchar, Romain Hennequin, Vincent Guigue
2023	J	`jnl`	Of Spiky SVDs and Music Recommendation. CoRR Darius Afchar, Romain Hennequin, Vincent Guigue
2023	J	`jnl`	Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. CoRR Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue
2022	—	`conf`	Learning Unsupervised Hierarchies of Audio Concepts. ISMIR Darius Afchar, Romain Hennequin, Vincent Guigue
2022	J	`jnl`	Learning Unsupervised Hierarchies of Audio Concepts. CoRR Darius Afchar, Romain Hennequin, Vincent Guigue
2021	—	`book`	Apprentissage de RepréSentation: de la déCision non Linéaire à la GénéRation de données. Vincent Guigue
2021	—	`conf`	Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. EMNLP (1) Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
2021	J	`jnl`	Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. CoRR Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
2021	A*	`conf`	Towards Rigorous Interpretations: a Formalisation of Feature Attribution. ICML Darius Afchar, Vincent Guigue, Romain Hennequin
2021	J	`jnl`	Towards Rigorous Interpretations: a Formalisation of Feature Attribution. CoRR Darius Afchar, Romain Hennequin, Vincent Guigue
2020	—	`conf`	Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. ECIR (2) Bruno Taillé, Vincent Guigue, Patrick Gallinari
2020	J	`jnl`	Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. CoRR Bruno Taillé, Vincent Guigue, Patrick Gallinari
2020	—	`conf`	Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP (1) Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
2020	J	`jnl`	Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! CoRR Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
2020	—	`conf`	Resume: A Robust Framework for Professional Profile Learning & Evaluation. CIRCLE Clara Gainon de Forsan de Gabriac, Amina Djelloul, Constance Scherer, Vincent Guigue, Patrick Gallinari
2020	B	`conf`	Resume: A Robust Framework for Professional Profile Learning & Evaluation. ESANN Clara Gainon de Forsan de Gabriac, Constance Scherer, Amina Djelloul, Vincent Guigue, Patrick Gallinari
2020	B	`conf`	Time Series Prediction using Disentangled Latent Factors. ESANN Perrine Cribier-Delande, Raphaël Puget, Vincent Guigue, Ludovic Denoyer
2020	—	`conf`	Time series prediction & generation from disentangled latent factors: new opportunities for smart cities. ITSC Perrine Cribier-Delande, Raphaël Puget, Camille Noûs, Vincent Guigue, Ludovic Denoyer
2019	—	`conf`	Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses. ACL (1) Étienne Simon, Vincent Guigue, Benjamin Piwowarski
2018	J	`jnl`	Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. Neurocomputing Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
2018	—	`conf`	DEFT 2018: Attention sélective pour classification de microblogs (DEFT 2018 : Selective Attention for Microblogging Classification ). CORIA-TALN-RJC (DeFT) Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Patrick Gallinari, Vincent Guigue
2018	—	`conf`	RNN et modèle d'attention pour l'apprentissage de profils textuels personnalisés. CORIA Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Vincent Guigue, Patrick Gallinari
2018	B	`conf`	Regularize and explicit collaborative filtering with textual attention. ESANN Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari
2017	B	`conf`	Anomaly detection and characterization in smart card logs using NMF and Tweets. ESANN Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
2017	—	`conf`	Passé, présent, futurs : induction de carrières professionnelles à partir de CV. CORIA Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari
2016	—	`conf`	Recommandation et analyse de sentiments dans un espace latent textuel. CORIA-CIFED Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari
2016	—	`conf`	Smart card in public transportation: Designing a analysis system at the human scale. ITSC Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
2016	—	`conf`	Trajectory Bayesian indexing: The airport ground traffic case. ITSC Cynthia Delauney, Nicolas Baskiotis, Vincent Guigue
2015	B	`conf`	Designing semantic feature spaces for brain-reading. ESANN Luepol Pipanmaekaporn, Ludmilla Tajtelbom, Vincent Guigue, Thierry Artières
2015	—	`conf`	Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CBRecSys@RecSys Mickaël Poussevin, Vincent Guigue, Patrick Gallinari
2015	—	`conf`	Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments. CORIA Mickaël Poussevin, Vincent Guigue, Patrick Gallinari
2015	A	`conf`	Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. RecSys Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari
2014	—	`conf`	A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. SEFM Workshops Debora Nozza, Daniele Maccagnola, Vincent Guigue, Enza Messina, Patrick Gallinari
2014	J	`jnl`	Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CoRR Mickaël Poussevin, Vincent Guigue, Patrick Gallinari
2014	—	`conf`	Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. MSM/MUSE/SenseML Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
2014	—	`conf`	Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. CORIA-CIFED Mickaël Poussevin, Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari
2013	—	`conf`	Classification de Sentiments Multi-Domaines et Passage à l'Echelle. CORIA Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
2013	—	`conf`	Cross-media sentiment classification and application to box-office forecasting. OAIR Élie Guàrdia-Sebaoun, Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
2012	A	`conf`	Coping with the Document Frequency Bias in Sentiment Classification. ICWSM Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
2012	—	`conf`	Représentations et régularisations pour la classification de sentiments. CORIA Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
2011	—	`conf`	Réseau de neurones profond et SVM pour la classification des sentiments. CORIA Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
2008	J	`jnl`	BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller. IEEE Trans. Biomed. Eng. Alain Rakotomamonjy, Vincent Guigue
2006	J	`jnl`	Kernel Basis Pursuit. Rev. d'Intelligence Artif. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
2006	J	`jnl`	Translation-invariant classification of non-stationary signals. Neurocomputing Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
2005	—	`conf`	Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances. ICANN (1) Alain Rakotomamonjy, Vincent Guigue, Grégory Mallet, Victor Alvarado
2005	—	`conf`	Kernel Basis Pursuit. CAP Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
2005	—	`conf`	Kernel Basis Pursuit. ECML Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
2005	B	`conf`	Translation invariant classification of non-stationary signals. ESANN Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
2001	—	`conf`	Partition along Characteristic Edges of a Digitized Point Cloud. Shape Modeling International Philippe Marin, André Meyer, Vincent Guigue