Antoine Chaffin

According to our database, Antoine Chaffin authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Distinctive Image Captioning: Leveraging Ground Truth Captions in CLIP Guided Reinforcement Learning.

Antoine Chaffin, Ewa Kijak, Vincent Claveau

CoRR, 2024

2023

Multimodal misinformation detection overcoming the training data collection challenge through data generation. (Détection de désinformation multimodale : surmonter le défi de la collecte de données d'entraînement grâce à la génération de données).

Antoine Chaffin

PhD thesis, 2023

Three Bricks to Consolidate Watermarks for Large Language Models.

Pierre Fernandez, Antoine Chaffin, Karim Tit, Vivien Chappelier, Teddy Furon

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

"Honey, Tell Me What's Wrong", Explicabilité Globale des Modèles de TAL par la Génération Coopérative.

Antoine Chaffin, Julien Delaunay

Proceedings of the Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2023 - Volume 1 : travaux de recherche originaux, 2023

"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation.

Antoine Chaffin, Julien Delaunay

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

2022

Choisir le bon co-équipier pour la génération coopérative de texte (Choosing The Right Teammate For Cooperative Text Generation).

Antoine Chaffin, Vincent Claveau, Ewa Kijak, Sylvain Lamprier, Benjamin Piwowarski, Thomas Scialom, Jacopo Staiano

Proceedings of the Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2022

Décodage guidé par un discriminateur avec le Monte Carlo Tree Search pour la génération de texte contrainte (Discriminator-guided decoding with Monte Carlo Tree Search for constrained text generation ).

Antoine Chaffin, Vincent Claveau, Ewa Kijak

Proceedings of the Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2022

Which Discriminator for Cooperative Text Generation?

Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding.

Antoine Chaffin, Vincent Claveau, Ewa Kijak

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Generating Artificial Texts as Substitution or Complement of Training Data.

Vincent Claveau, Antoine Chaffin, Ewa Kijak

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Generative Cooperative Networks for Natural Language Generation.

Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski

Proceedings of the International Conference on Machine Learning, 2022

Multitask Prompted Training Enables Zero-Shot Task Generalization.

Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Multitask Prompted Training Enables Zero-Shot Task Generalization.

Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush

CoRR, 2021

Generating texts under constraint through discriminator-guided MCTS.

Antoine Chaffin, Vincent Claveau, Ewa Kijak

CoRR, 2021

La génération de textes artificiels en substitution ou en complément de données d'apprentissage (Generating artificial texts as substitution or complement of training data ).

Vincent Claveau, Antoine Chaffin, Ewa Kijak

Proceedings of the Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2021