Self-Attention Architectures for Answer-Agnostic Neural Question Generation. - Thomas Scialom; Benjamin Piwowarski; Jacopo Staiano (ACL (1), 2019)

Architecture basée sur les mécanismes d'attention: le cas de la génération de questions neuronales. - Thomas Scialom; Benjamin Piwowarski; Jacopo Staiano (CORIA, 2019)

Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. - Thomas Scialom; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (EMNLP/IJCNLP (1), 2019)

Ask to Learn: A Study on Curiosity-driven Question Generation. - Thomas Scialom; Jacopo Staiano (COLING, 2020)

MLSUM: The Multilingual Summarization Corpus. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (EMNLP (1), 2020)

Toward Stance-based Personas for Opinionated Dialogues. - Thomas Scialom; Serra Sinem Tekiroglu; Jacopo Staiano; Marco Guerini (EMNLP (Findings), 2020)

Discriminative Adversarial Search for Abstractive Summarization. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (ICML, 2020)

What BERT Sees: Cross-Modal Transfer for Visual Question Generation. - Thomas Scialom; Patrick Bordes; Paul-Alexis Dray; Jacopo Staiano; Patrick Gallinari (INLG, 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 (LREC, 2020)

ColdGANs: Taming Language GANs with Cautious Sampling Strategies. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (NeurIPS, 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)

QACE: Asking Questions to Evaluate an Image Caption. - Hwanhee Lee; Thomas Scialom; Seunghyun Yoon 002; Franck Dernoncourt; Kyomin Jung (EMNLP (Findings), 2021)

Skim-Attention: Learning to Focus via Document Layout. - Laura Nguyen; Thomas Scialom; Jacopo Staiano; Benjamin Piwowarski (EMNLP (Findings), 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 (EMNLP (1), 2021)

Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering. - Arij Riabi; Thomas Scialom; Rachel Keraron; Benoît Sagot; Djamé Seddah; Jacopo Staiano (EMNLP (1), 2021)

QuestEval: Summarization Asks for Fact-based Evaluation. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano; Alex Wang; Patrick Gallinari (EMNLP (1), 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 (NeurIPS, 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)

Rethinking Automatic Evaluation in Sentence Simplification. - Thomas Scialom; Louis Martin; Jacopo Staiano; Éric Villemonte de la Clergerie; Benoît Sagot (CoRR, 2021)

BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation. - Thomas Scialom; Felix Hill (CoRR, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

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 (EMNLP, 2022)

Fine-tuned Language Models are Continual Learners. - Thomas Scialom; Tuhin Chakrabarty; Smaranda Muresan (EMNLP, 2022)

Generative Cooperative Networks for Natural Language Generation. - Sylvain Lamprier; Thomas Scialom; Antoine Chaffin; Vincent Claveau; Ewa Kijak; Jacopo Staiano; Benjamin Piwowarski (ICML, 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 (NAACL-HLT, 2022)

Which Discriminator for Cooperative Text Generation? - Antoine Chaffin; Thomas Scialom; Sylvain Lamprier; Jacopo Staiano; Benjamin Piwowarski; Ewa Kijak; Vincent Claveau (SIGIR, 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 (TALN-RECITAL, 2022)

Continual-T0: Progressively Instructing 50+ Tasks to Language Models Without Forgetting. - Thomas Scialom; Tuhin Chakrabarty; Smaranda Muresan (CoRR, 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)

Natural Language Generation with Reinforcement Learning. (Génération de Langage Naturel par Apprentissage par Renforcement). - Thomas Scialom (2022)

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor. - Or Honovich; Thomas Scialom; Omer Levy; Timo Schick (ACL (1), 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 001; Marzieh Saeidi (ACL (Findings), 2023)

LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization. - Laura Nguyen; Thomas Scialom; Benjamin Piwowarski; Jacopo Staiano (EACL, 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 (NeurIPS, 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)

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; et al. (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; et al. (CoRR, 2023)

GAIA: a benchmark for General AI Assistants. - Grégoire Mialon; Clémentine Fourrier; Craig Swift; Thomas Wolf 008; Yann LeCun; Thomas Scialom (CoRR, 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)

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; et al. (Trans. Mach. Learn. Res., 2023)

Nougat: Neural Optical Understanding for Academic Documents. - Lukas Blecher; Guillem Cucurull; Thomas Scialom; Robert Stojnic (ICLR, 2024)

GAIA: a benchmark for General AI Assistants. - Grégoire Mialon; Clémentine Fourrier; Thomas Wolf 008; Yann LeCun; Thomas Scialom (ICLR, 2024)