Guillaume Lample

According to our database, Guillaume Lample authored at least 37 papers between 2015 and 2024.

Collaborative distances:

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

2024

Pixtral 12B.

Pravesh Agrawal, Szymon Antoniak, Emma Bou Hanna, Baptiste Bout, Devendra Singh Chaplot, Jessica Chudnovsky, Diogo Costa, Baudouin De Monicault, Saurabh Garg, Théophile Gervet, Soham Ghosh, Amélie Héliou, Paul Jacob, Albert Q. Jiang, Kartik Khandelwal, Timothée Lacroix, Guillaume Lample, Diego de Las Casas, Thibaut Lavril, Teven Le Scao, Andy Lo, William Marshall, Louis Martin, Arthur Mensch, Pavankumar Muddireddy, Valera Nemychnikova, Marie Pellat, Patrick von Platen, Nikhil Raghuraman, Baptiste Rozière, Alexandre Sablayrolles, Lucile Saulnier, Romain Sauvestre, Wendy Shang, Roman Soletskyi, Lawrence Stewart, Pierre Stock, Joachim Studnia, Sandeep Subramanian, Sagar Vaze, Thomas Wang, Sophia Yang

CoRR, 2024

Mixtral of Experts.

Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed

CoRR, 2024

2023

Mistral 7B.

Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed

CoRR, 2023

LLaMA: Open and Efficient Foundation Language Models.

Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurélien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample

CoRR, 2023

Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search.

Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin

Proceedings of the International Conference on Machine Learning, 2023

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs.

Albert Qiaochu Jiang, Sean Welleck, Jin Peng Zhou, Timothée Lacroix, Jiacheng Liu, Wenda Li, Mateja Jamnik, Guillaume Lample, Yuhuai Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Deep Symbolic Regression for Recurrent Sequences.

Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton

CoRR, 2022

HyperTree Proof Search for Neural Theorem Proving.

Guillaume Lample, Timothée Lacroix, Marie-Anne Lachaux, Aurélien Rodriguez, Amaury Hayat, Thibaut Lavril, Gabriel Ebner, Xavier Martinet

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

End-to-end Symbolic Regression with Transformers.

Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton

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

Deep symbolic regression for recurrence prediction.

Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton

Proceedings of the International Conference on Machine Learning, 2022

Leveraging Automated Unit Tests for Unsupervised Code Translation.

Baptiste Rozière, Jie Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages.

Marie-Anne Lachaux, Baptiste Rozière, Marc Szafraniec, Guillaume Lample

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

Learning advanced mathematical computations from examples.

François Charton, Amaury Hayat, Guillaume Lample

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Deep Differential System Stability - Learning advanced computations from examples.

François Charton, Amaury Hayat, Guillaume Lample

CoRR, 2020

Unsupervised Translation of Programming Languages.

Baptiste Rozière, Marie-Anne Lachaux, Lowik Chanussot, Guillaume Lample

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

Deep Learning For Symbolic Mathematics.

Guillaume Lample, François Charton

Proceedings of the 8th International Conference on Learning Representations, 2020

Target Conditioning for One-to-Many Generation.

Marie-Anne Lachaux, Armand Joulin, Guillaume Lample

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

2019

Augmenting Self-attention with Persistent Memory.

Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin

CoRR, 2019

Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English.

Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato

CoRR, 2019

Large Memory Layers with Product Keys.

Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cross-lingual Language Model Pretraining.

Alexis Conneau, Guillaume Lample

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multiple-Attribute Text Rewriting.

Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau

Proceedings of the 7th International Conference on Learning Representations, 2019

The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English.

Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato

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

2018

Multiple-Attribute Text Style Transfer.

Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau

CoRR, 2018

Word translation without parallel data.

Guillaume Lample, Alexis Conneau, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou

Proceedings of the 6th International Conference on Learning Representations, 2018

Unsupervised Machine Translation Using Monolingual Corpora Only.

Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato

Proceedings of the 6th International Conference on Learning Representations, 2018

Phrase-Based & Neural Unsupervised Machine Translation.

Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

XNLI: Evaluating Cross-lingual Sentence Representations.

Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties.

Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, Marco Baroni

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Unsupervised Machine Translation Using Monolingual Corpora Only.

Guillaume Lample, Ludovic Denoyer, Marc'Aurelio Ranzato

CoRR, 2017

Fader Networks: Manipulating Images by Sliding Attributes.

Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Playing FPS Games with Deep Reinforcement Learning.

Guillaume Lample, Devendra Singh Chaplot

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Arnold: An Autonomous Agent to Play FPS Games.

Devendra Singh Chaplot, Guillaume Lample

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Massively Multilingual Word Embeddings.

Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, Noah A. Smith

CoRR, 2016

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning.

Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer

Proceedings of the NAACL HLT 2016, 2016

Neural Architectures for Named Entity Recognition.

Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer

Proceedings of the NAACL HLT 2016, 2016

2015

Evaluation of Word Vector Representations by Subspace Alignment.

Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Guillaume Lample, Chris Dyer

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015