Théo Gigant

According to our database, Théo Gigant authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation.

Théo Gigant, Bowen Peng, Jeffrey Quesnelle

CoRR, April, 2026

2025

Summarization of Multimodal Presentations with Vision-Language Models: Study of the Effect of Modalities and Structure.

Théo Gigant, Camille Guinaudeau, Frédéric Dufaux

CoRR, April, 2025

Summarization of multimodal presentations with language models. (Résumé de présentations multimodales avec des modèles de langue).

Théo Gigant

PhD thesis, 2025

Atténuer l'impact de la qualité des références sur l'évaluation des systèmes de résumé grâce aux métriques sans référence.

Théo Gigant, Camille Guinaudeau, Marc Decombas, Frédéric Dufaux

Proceedings of the Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles, 2025

2024

Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics.

Théo Gigant, Camille Guinaudeau, Marc Decombas, Frédéric Dufaux

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

TIB: A Dataset for Abstractive Summarization of Long Multimodal Videoconference Records.

Théo Gigant, Frédéric Dufaux, Camille Guinaudeau, Marc Décombas

Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing.

Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Myungsun Kang, Ruisi Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José David Posada, John Michael Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Michio Broad, Yanis Labrak, Shlok S. Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

CoRR, 2022

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing.

Jason A. Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022