Thomas Scialom

According to our database, Thomas Scialom authored at least 40 papers between 2019 and 2023.

Collaborative distances:

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

2023

WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models.

Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, Jean-Baptiste Gaya, Xavier Martinet, Grégoire Mialon, Thomas Scialom, Emmanuel Dupoux, Dieuwke Hupkes, Pascal Vincent

CoRR, 2023

GAIA: a benchmark for General AI Assistants.

Grégoire Mialon, Clémentine Fourrier, Craig Swift, Thomas Wolf, Yann LeCun, Thomas Scialom

CoRR, 2023

Nougat: Neural Optical Understanding for Academic Documents.

Lukas Blecher, Guillem Cucurull, Thomas Scialom, Robert Stojnic

CoRR, 2023

Code Llama: Open Foundation Models for Code.

Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton-Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve

CoRR, 2023

Llama 2: Open Foundation and Fine-Tuned Chat Models.

Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom

CoRR, 2023

Augmented Language Models: a Survey.

Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom

CoRR, 2023

Toolformer: Language Models Can Teach Themselves to Use Tools.

Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom

CoRR, 2023

Toolformer: Language Models Can Teach Themselves to Use Tools.

Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization.

Laura Nguyen, Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question.

Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani, Pouya Yanki, Angela Fan, James Henderson, Marzieh Saeidi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor.

Or Honovich, Thomas Scialom, Omer Levy, Timo Schick

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Natural Language Generation with Reinforcement Learning. (Génération de Langage Naturel par Apprentissage par Renforcement).

Thomas Scialom

PhD thesis, 2022

Galactica: A Large Language Model for Science.

Ross Taylor, Marcin Kardas, Guillem Cucurull, Thomas Scialom, Anthony Hartshorn, Elvis Saravia, Andrew Poulton, Viktor Kerkez, Robert Stojnic

CoRR, 2022

Continual-T0: Progressively Instructing 50+ Tasks to Language Models Without Forgetting.

Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan

CoRR, 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

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

TRUE: Re-evaluating Factual Consistency Evaluation.

Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias

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

Fine-tuned Language Models are Continual Learners.

Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques.

Malik H. Altakrori, Thomas Scialom, Benjamin C. M. Fung, Jackie Chi Kit Cheung

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation.

Thomas Scialom, Felix Hill

CoRR, 2021

Rethinking Automatic Evaluation in Sentence Simplification.

Thomas Scialom, Louis Martin, Jacopo Staiano, Éric Villemonte de la Clergerie, Benoît Sagot

CoRR, 2021

SAFEval: Summarization Asks for Fact-based Evaluation.

Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang

CoRR, 2021

To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs.

Thomas Scialom, Paul-Alexis Dray, Jacopo Staiano, Sylvain Lamprier, Benjamin Piwowarski

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

QuestEval: Summarization Asks for Fact-based Evaluation.

Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang, Patrick Gallinari

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering.

Arij Riabi, Thomas Scialom, Rachel Keraron, Benoît Sagot, Djamé Seddah, Jacopo Staiano

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation.

Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Skim-Attention: Learning to Focus via Document Layout.

Laura Nguyen, Thomas Scialom, Jacopo Staiano, Benjamin Piwowarski

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

QACE: Asking Questions to Evaluate an Image Caption.

Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, Kyomin Jung

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations.

Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari

CoRR, 2020

ColdGANs: Taming Language GANs with Cautious Sampling Strategies.

Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Project PIAF: Building a Native French Question-Answering Dataset.

Rachel Keraron, Guillaume Lancrenon, Mathilde Bras, Frédéric Allary, Gilles Moyse, Thomas Scialom, Edmundo-Pavel Soriano-Morales, Jacopo Staiano

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

What BERT Sees: Cross-Modal Transfer for Visual Question Generation.

Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari

Proceedings of the 13th International Conference on Natural Language Generation, 2020

Discriminative Adversarial Search for Abstractive Summarization.

Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano

Proceedings of the 37th International Conference on Machine Learning, 2020

Toward Stance-based Personas for Opinionated Dialogues.

Thomas Scialom, Serra Sinem Tekiroglu, Jacopo Staiano, Marco Guerini

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

MLSUM: The Multilingual Summarization Corpus.

Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Ask to Learn: A Study on Curiosity-driven Question Generation.

Thomas Scialom, Jacopo Staiano

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Answers Unite! Unsupervised Metrics for Reinforced Summarization Models.

Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Architecture basée sur les mécanismes d'attention: le cas de la génération de questions neuronales.

Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano

Proceedings of the COnférence en Recherche d'Informations et Applications, 2019

Self-Attention Architectures for Answer-Agnostic Neural Question Generation.

Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019