Guillaume Lample

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 55

Top Topics

Machine Translation

Symbolic Regression

Parallel Corpus

Top Venues

Publications

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
Mixtral of Experts. CoRR (2024)
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
LLaMA: Open and Efficient Foundation Language Models. CoRR (2023)
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
Mistral 7B. CoRR (2023)
Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search. CoRR (2023)
Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search. ICML (2023)
Albert Qiaochu Jiang, Sean Welleck, Jin Peng Zhou, Timothée Lacroix, Jiacheng Liu, Wenda Li, Mateja Jamnik, Guillaume Lample, Yuhuai Wu
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs. ICLR (2023)
Baptiste Rozière, Jie Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample
Leveraging Automated Unit Tests for Unsupervised Code Translation. ICLR (2022)
Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, Xavier Martinet, Amaury Hayat, Gabriel Ebner, Aurélien Rodriguez, Timothée Lacroix
HyperTree Proof Search for Neural Theorem Proving. CoRR (2022)
Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton
End-to-end Symbolic Regression with Transformers. NeurIPS (2022)
Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton
Deep symbolic regression for recurrence prediction. ICML (2022)
Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton
Deep Symbolic Regression for Recurrent Sequences. CoRR (2022)
Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, Wenda Li, Jiacheng Liu, Mateja Jamnik, Timothée Lacroix, Yuhuai Wu, Guillaume Lample
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs. CoRR (2022)
Guillaume Lample, Timothée Lacroix, Marie-Anne Lachaux, Aurélien Rodriguez, Amaury Hayat, Thibaut Lavril, Gabriel Ebner, Xavier Martinet
HyperTree Proof Search for Neural Theorem Proving. NeurIPS (2022)
Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton
End-to-end symbolic regression with transformers. CoRR (2022)
Baptiste Rozière, Jie M. Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample
Leveraging Automated Unit Tests for Unsupervised Code Translation. CoRR (2021)
Baptiste Rozière, Marie-Anne Lachaux, Marc Szafraniec, Guillaume Lample
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages. CoRR (2021)
Marie-Anne Lachaux, Baptiste Rozière, Marc Szafraniec, Guillaume Lample
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages. NeurIPS (2021)
François Charton, Amaury Hayat, Guillaume Lample
Learning advanced mathematical computations from examples. ICLR (2021)
Baptiste Rozière, Marie-Anne Lachaux, Lowik Chanussot, Guillaume Lample
Unsupervised Translation of Programming Languages. NeurIPS (2020)
Guillaume Lample, François Charton
Deep Learning For Symbolic Mathematics. ICLR (2020)
François Charton, Amaury Hayat, Guillaume Lample
Deep Differential System Stability - Learning advanced computations from examples. CoRR (2020)
Marie-Anne Lachaux, Armand Joulin, Guillaume Lample
Target Conditioning for One-to-Many Generation. EMNLP (Findings) (2020)
Marie-Anne Lachaux, Armand Joulin, Guillaume Lample
Target Conditioning for One-to-Many Generation. CoRR (2020)
Marie-Anne Lachaux, Baptiste Rozière, Lowik Chanussot, Guillaume Lample
Unsupervised Translation of Programming Languages. CoRR (2020)
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. CoRR (2019)
Guillaume Lample, Alexis Conneau
Cross-lingual Language Model Pretraining. CoRR (2019)
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. EMNLP/IJCNLP (1) (2019)
Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin
Augmenting Self-attention with Persistent Memory. CoRR (2019)
Guillaume Lample, François Charton
Deep Learning for Symbolic Mathematics. CoRR (2019)
Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
Large Memory Layers with Product Keys. NeurIPS (2019)
Alexis Conneau, Guillaume Lample
Cross-lingual Language Model Pretraining. NeurIPS (2019)
Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau
Multiple-Attribute Text Rewriting. ICLR (Poster) (2019)
Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
Large Memory Layers with Product Keys. CoRR (2019)
Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau
Multiple-Attribute Text Style Transfer. CoRR (2018)
Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, Marco Baroni
What you can cram into a single vector: Probing sentence embeddings for linguistic properties. CoRR (2018)
Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov
XNLI: Evaluating Cross-lingual Sentence Representations. CoRR (2018)
Guillaume Lample, Alexis Conneau, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
Word translation without parallel data. ICLR (Poster) (2018)
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato
Phrase-Based & Neural Unsupervised Machine Translation. CoRR (2018)
Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato
Unsupervised Machine Translation Using Monolingual Corpora Only. ICLR (Poster) (2018)
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov
XNLI: Evaluating Cross-lingual Sentence Representations. EMNLP (2018)
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato
Phrase-Based & Neural Unsupervised Machine Translation. EMNLP (2018)
Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, Marco Baroni
What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties. ACL (1) (2018)
Guillaume Lample, Ludovic Denoyer, Marc'Aurelio Ranzato
Unsupervised Machine Translation Using Monolingual Corpora Only. CoRR (2017)
Devendra Singh Chaplot, Guillaume Lample
Arnold: An Autonomous Agent to Play FPS Games. AAAI (2017)
Guillaume Lample, Devendra Singh Chaplot
Playing FPS Games with Deep Reinforcement Learning. AAAI (2017)
Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
Word Translation Without Parallel Data. CoRR (2017)
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato
Fader Networks: Manipulating Images by Sliding Attributes. NIPS (2017)
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato
Fader Networks: Manipulating Images by Sliding Attributes. CoRR (2017)
Guillaume Lample, Devendra Singh Chaplot
Playing FPS Games with Deep Reinforcement Learning. CoRR (2016)
Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. CoRR (2016)
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer
Neural Architectures for Named Entity Recognition. CoRR (2016)
Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, Noah A. Smith
Massively Multilingual Word Embeddings. CoRR (2016)
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer
Neural Architectures for Named Entity Recognition. HLT-NAACL (2016)
Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. HLT-NAACL (2016)
Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Guillaume Lample, Chris Dyer
Evaluation of Word Vector Representations by Subspace Alignment. EMNLP (2015)