Vincent Guigue

AgroParisTech — France

Computer Science · Physical Sciences

11h-index918citations108works0.42yr avg
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Research Topics

Topic Modeling(29), Natural Language Processing Techniques(23), Sentiment Analysis and Opinion Mining(15), Time Series Analysis and Forecasting(12), Data Management and Algorithms(10)

Publications108 total

AllSummedUp: un framework open-source pour comparer les metriques d'evaluation de resume
arXiv (Cornell University)·2025Open Access
A machine learning framework for the prediction and analysis of bacterial antagonism in biofilms using morphological descriptors
Artificial Intelligence in the Life Sciences·2025Open Access
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation
2025· 2 citedOpen Access
NutriKG -Un Graphe de Connaissances pour Modéliser les Préférences et les Besoins Nutritionnels
SPIRE - Sciences Po Institutional REpository·2025Open Access
SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation
arXiv (Cornell University)·2025Open Access
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation
arXiv (Cornell University)·2025Open Access
Drought forecasting using a hybrid neural architecture for integrating time series and static data
HAL (Le Centre pour la Communication Scientifique Directe)·2025Open Access
Towards Lighter and Robust Evaluation for Retrieval Augmented Generation
arXiv (Cornell University)·2025Open Access
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
arXiv (Cornell University)·2025Open Access
SEval- The image shows the letters "EX" in a bold, stylized font with an orange gradient. The design has a dynamic, modern appearance, suggesting emphasis or importance. : A Statement-Level Framework for Explainable Summarization Evaluation
Lecture notes in computer science·2025
MeLaSSS : Métrique dans l’espace latent sur les phrasessimplifiées
SPIRE - Sciences Po Institutional REpository·2024Open Access
LOCOST: Modèles Espace-État pour le Résumé Abstractif de Documents Longs
SPIRE - Sciences Po Institutional REpository·2024Open Access
Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire
SPIRE - Sciences Po Institutional REpository·2024Open Access
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering
arXiv (Cornell University)·2024Open Access
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QA
Lecture notes in computer science·2024· 1 cited
LOCOST: State-Space Models for Long Document Abstractive Summarization
2024· 3 citedOpen Access
CALM: Context Augmentation with Large Language Model for Named Entity Recognition
Lecture notes in computer science·2024Open Access
Interpretable time series neural representation for classification purposes
arXiv (Cornell University)·2023Open Access
Improving generalization in large language models by learning prefix subspaces
arXiv (Cornell University)·2023Open Access
Interpretable time series neural representation for classification purposes
2023· 1 citedOpen Access
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Frequent Co-authors

Patrick Gallinari(16), Nicolas Baskiotis(8), Alain Rakotomamonjy(7), Laure Soulier(6), Benjamin Piwowarski(5), Abdelhalim Rafrafi(5), Emeric Tonnelier(4), Bruno Taillé(4), Patrick Gallinari(4), Stéphane Canu(3), Mickaël Poussevin(3), Élie Guàrdia-Sebaoun(3), Darius Afchar(3), Romain Hennequin(3), Étienne Le Naour(3), Ghislain Agoua(3), G. Mallet(2), Víctor M. Alvarado(2), Étienne Simon(2), Maya Sahraoui(2)