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ORCIDThomas Gerald
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2020 – today
- 2024
[j2]Thomas Gerald
, Louis Tamames, Sofiane Ettayeb, Ha-Quang Le, Patrick Paroubek, Anne Vilnat:
CQuAE: A new Contextualized QUestion Answering corpus on Education domain. Data Knowl. Eng. 151: 102305 (2024)- [c16]Thomas Gerald, Anne Vilnat, Sofiane Ettayeb, Louis Tamames, Patrick Paroubek:
Introducing CQuAE : A New French Contextualised Question-Answering Corpus for the Education Domain. LREC/COLING 2024: 9234-9244 - [c15]Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Small Language Models Are Good Too: An Empirical Study of Zero-Shot Classification. LREC/COLING 2024: 14923-14936 - [c14]Thomas Gerald, Louis Tamames, Sofiane Ettayeb, Patrick Paroubek, Anne Vilnat:
CQuAE : Un nouveau corpus de question-réponse pour l'enseignement. TALN (1) 2024: 50-63 - [c13]Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Les petits modèles sont bons : une étude empirique de classification dans un contexte zero-shot. TALN (1) 2024: 113-129 - [i6]Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification. CoRR abs/2404.11122 (2024) - 2023
- [j1]Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander:
A hyperbolic approach for learning communities on graphs. Data Min. Knowl. Discov. 37(3): 1090-1124 (2023) - [c12]Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier:
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval. ECIR (1) 2023: 537-552 - [c11]Thomas Gerald, Sofiane Ettayeb, Ha Quang Le, Gabriel Illouz, Patrick Paroubek, Anne Vilnat:
Sélectionner les ?bons? passages pour créer les ?bonnes? questions : Analyse et Évaluation d'un nouveau Corpus de Questions et Réponses pour l'Éducation. EGC 2023: 67-78 - [c10]Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarksi, Laure Soulier:
CoSPLADE : Adaptation d'un Modèle Neuronal Basé sur des Représentations Parcimonieuses pour la Recherche d'Information Conversationnelle. CORIA-TALN 2023: 207-212 - [i5]Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier:
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval. CoRR abs/2301.04413 (2023) - 2022
- [c9]Hanane Djeddal, Thomas Gerald, Laure Soulier, Karen Pinel-Sauvagnat, Lynda Tamine:
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs - Abstract. CIRCLE 2022 - [c8]Thomas Gerald, Laure Soulier:
Continual Learning of Long Topic Sequences in Neural Information Retrieval - abstract. CIRCLE 2022 - [c7]Hanane Djeddal, Thomas Gerald, Laure Soulier, Karen Pinel-Sauvagnat, Lynda Tamine:
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs. ECIR (2) 2022: 93-101 - [c6]Thomas Gerald, Laure Soulier:
Continual Learning of Long Topic Sequences in Neural Information Retrieval. ECIR (1) 2022: 244-259 - [c5]Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier:
MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding. TREC 2022 - [i4]Thomas Gerald, Laure Soulier:
Continual Learning of Long Topic Sequences in Neural Information Retrieval. CoRR abs/2201.03356 (2022) - 2021
- [c4]Nawel Astaouti, Thomas Gerald, Maya Touzari, Laure Soulier, Jian-Yun Nie:
MLIA-LIP6@TREC-CAST2021: Feature augmentation for query recontextualization and passage ranking. TREC 2021 - [i3]Hanane Djeddal, Thomas Gerald, Laure Soulier, Karen Pinel-Sauvagnat, Lynda Tamine:
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs. CoRR abs/2112.04344 (2021) - 2020
- [b1]Thomas Gerald:
Representation Learning for Large Scale Classification. (Apprentissage de représentation pour la classification large échelle). Sorbonne University, Paris, France, 2020 - [c3]Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec:
Introduction to Geometric Learning in Python with Geomstats. SciPy 2020: 48-57 - [c2]Thomas Gerald, Hadi Zaatiti, Hatem Hajri:
A Practical Hands-on for Learning Graph Data Communities on Manifolds. SPIGL 2020: 428-459 - [i2]Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec:
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR abs/2004.04667 (2020)
2010 – 2019
- 2019
- [i1]Thomas Gerald, Aurélia Léon, Nicolas Baskiotis, Ludovic Denoyer:
Binary Stochastic Representations for Large Multi-class Classification. CoRR abs/1906.09838 (2019) - 2017
- [c1]Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer:
Binary Stochastic Representations for Large Multi-class Classification. ICONIP (1) 2017: 155-165
Coauthor Index
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