Thomas Scialom

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 61

Top Topics

Question Answering

Automatic Evaluation

Top Venues

EMNLP (Findings)

Publications

Lukas Blecher, Guillem Cucurull, Thomas Scialom, Robert Stojnic
Nougat: Neural Optical Understanding for Academic Documents. ICLR (2024)
Grégoire Mialon, Clémentine Fourrier, Thomas Wolf, Yann LeCun, Thomas Scialom
GAIA: a benchmark for General AI Assistants. ICLR (2024)
Laura Nguyen, Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano
LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization. EACL (2023)
Grégoire Mialon, Clémentine Fourrier, Craig Swift, Thomas Wolf, Yann LeCun, Thomas Scialom
GAIA: a benchmark for General AI Assistants. CoRR (2023)
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
Augmented Language Models: a Survey. CoRR (2023)
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
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR (2023)
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
Augmented Language Models: a Survey. Trans. Mach. Learn. Res. 2023 (2023)
Laura Nguyen, Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano
LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization. CoRR (2023)
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
Toolformer: Language Models Can Teach Themselves to Use Tools. CoRR (2023)
Or Honovich, Thomas Scialom, Omer Levy, Timo Schick
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor. ACL (1) (2023)
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
Code Llama: Open Foundation Models for Code. CoRR (2023)
Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani, Pouya Yanki, Angela Fan, James Henderson, Marzieh Saeidi
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question. ACL (Findings) (2023)
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
Toolformer: Language Models Can Teach Themselves to Use Tools. NeurIPS (2023)
Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, Jean-Baptiste Gaya, Xavier Martinet, Grégoire Mialon, Thomas Scialom, Emmanuel Dupoux, Dieuwke Hupkes, Pascal Vincent
WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models. CoRR (2023)
Lukas Blecher, Guillem Cucurull, Thomas Scialom, Robert Stojnic
Nougat: Neural Optical Understanding for Academic Documents. CoRR (2023)
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
TRUE: Re-evaluating Factual Consistency Evaluation. CoRR (2022)
Malik H. Altakrori, Thomas Scialom, Benjamin C. M. Fung, Jackie Chi Kit Cheung
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques. EMNLP (2022)
Antoine Chaffin, Vincent Claveau, Ewa Kijak, Sylvain Lamprier, Benjamin Piwowarski, Thomas Scialom, Jacopo Staiano
Choisir le bon co-équipier pour la génération coopérative de texte (Choosing The Right Teammate For Cooperative Text Generation). TALN-RECITAL (2022)
Or Honovich, Thomas Scialom, Omer Levy, Timo Schick
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor. CoRR (2022)
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
TRUE: Re-evaluating Factual Consistency Evaluation. DialDoc@ACL (2022)
Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani, Pouya Yanki, Angela Fan, James Henderson, Marzieh Saeidi
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question. CoRR (2022)
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
TRUE: Re-evaluating Factual Consistency Evaluation. NAACL-HLT (2022)
Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan
Fine-tuned Language Models are Continual Learners. EMNLP (2022)
Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski
Generative Cooperative Networks for Natural Language Generation. ICML (2022)
Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski
Generative Cooperative Networks for Natural Language Generation. CoRR (2022)
Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau
Which Discriminator for Cooperative Text Generation? SIGIR (2022)
Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau
Which Discriminator for Cooperative Text Generation? CoRR (2022)
Ross Taylor, Marcin Kardas, Guillem Cucurull, Thomas Scialom, Anthony Hartshorn, Elvis Saravia, Andrew Poulton, Viktor Kerkez, Robert Stojnic
Galactica: A Large Language Model for Science. CoRR (2022)
Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan
Continual-T0: Progressively Instructing 50+ Tasks to Language Models Without Forgetting. CoRR (2022)
Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari
Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation. CoRR (2021)
Laura Nguyen, Thomas Scialom, Jacopo Staiano, Benjamin Piwowarski
Skim-Attention: Learning to Focus via Document Layout. CoRR (2021)
Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, Kyomin Jung
QACE: Asking Questions to Evaluate an Image Caption. CoRR (2021)
Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, Kyomin Jung
QACE: Asking Questions to Evaluate an Image Caption. EMNLP (Findings) (2021)
Thomas Scialom, Paul-Alexis Dray, Jacopo Staiano, Sylvain Lamprier, Benjamin Piwowarski
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs. NeurIPS (2021)
Arij Riabi, Thomas Scialom, Rachel Keraron, Benoît Sagot, Djamé Seddah, Jacopo Staiano
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering. EMNLP (1) (2021)
Thomas Scialom, Felix Hill
BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation. CoRR (2021)
Thomas Scialom, Louis Martin, Jacopo Staiano, Éric Villemonte de la Clergerie, Benoît Sagot
Rethinking Automatic Evaluation in Sentence Simplification. CoRR (2021)
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang, Patrick Gallinari
QuestEval: Summarization Asks for Fact-based Evaluation. EMNLP (1) (2021)
Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang
SAFEval: Summarization Asks for Fact-based Evaluation. CoRR (2021)
Laura Nguyen, Thomas Scialom, Jacopo Staiano, Benjamin Piwowarski
Skim-Attention: Learning to Focus via Document Layout. EMNLP (Findings) (2021)
Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation. EMNLP (1) (2021)
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs. CoRR (2021)
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
ColdGANs: Taming Language GANs with Cautious Sampling Strategies. NeurIPS (2020)
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
Discriminative Adversarial Search for Abstractive Summarization. ICML (2020)
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
MLSUM: The Multilingual Summarization Corpus. EMNLP (1) (2020)
Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari
BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations. CoRR (2020)
Arij Riabi, Thomas Scialom, Rachel Keraron, Benoît Sagot, Djamé Seddah, Jacopo Staiano
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering. CoRR (2020)
Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari
What BERT Sees: Cross-Modal Transfer for Visual Question Generation. INLG (2020)
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
Discriminative Adversarial Search for Abstractive Summarization. CoRR (2020)
Thomas Scialom, Serra Sinem Tekiroglu, Jacopo Staiano, Marco Guerini
Toward Stance-based Personas for Opinionated Dialogues. EMNLP (Findings) (2020)
Rachel Keraron, Guillaume Lancrenon, Mathilde Bras, Frédéric Allary, Gilles Moyse, Thomas Scialom, Edmundo-Pavel Soriano-Morales, Jacopo Staiano
Project PIAF: Building a Native French Question-Answering Dataset. CoRR (2020)
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
ColdGANs: Taming Language GANs with Cautious Sampling Strategies. CoRR (2020)
Thomas Scialom, Jacopo Staiano
Ask to Learn: A Study on Curiosity-driven Question Generation. COLING (2020)
Rachel Keraron, Guillaume Lancrenon, Mathilde Bras, Frédéric Allary, Gilles Moyse, Thomas Scialom, Edmundo-Pavel Soriano-Morales, Jacopo Staiano
Project PIAF: Building a Native French Question-Answering Dataset. LREC (2020)
Thomas Scialom, Serra Sinem Tekiroglu, Jacopo Staiano, Marco Guerini
Toward Stance-based Personas for Opinionated Dialogues. CoRR (2020)
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
MLSUM: The Multilingual Summarization Corpus. CoRR (2020)
Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano
Architecture basée sur les mécanismes d'attention: le cas de la génération de questions neuronales. CORIA (2019)
Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano
Self-Attention Architectures for Answer-Agnostic Neural Question Generation. ACL (1) (2019)
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. CoRR (2019)
Thomas Scialom, Jacopo Staiano
Ask to Learn: A Study on Curiosity-driven Question Generation. CoRR (2019)
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. EMNLP/IJCNLP (1) (2019)