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2020 – today
- 2024
[i30]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 abs/2401.04088 (2024)- [i29]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:
Pixtral 12B. CoRR abs/2410.07073 (2024) - 2023
- [c26]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 - [c25]Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin:
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search. ICML 2023: 15655-15668 - [i28]Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin:
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search. CoRR abs/2302.11223 (2023) - [i27]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 abs/2302.13971 (2023) - [i26]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 abs/2310.06825 (2023) - 2022
- [c24]Baptiste Rozière, Jie Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample:
Leveraging Automated Unit Tests for Unsupervised Code Translation. ICLR 2022 - [c23]Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton:
Deep symbolic regression for recurrence prediction. ICML 2022: 4520-4536 - [c22]Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton:
End-to-end Symbolic Regression with Transformers. NeurIPS 2022 - [c21]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 - [i25]Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton:
Deep Symbolic Regression for Recurrent Sequences. CoRR abs/2201.04600 (2022) - [i24]Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton:
End-to-end symbolic regression with transformers. CoRR abs/2204.10532 (2022) - [i23]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 abs/2205.11491 (2022) - [i22]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 abs/2210.12283 (2022) - 2021
- [c20]François Charton, Amaury Hayat, Guillaume Lample:
Learning advanced mathematical computations from examples. ICLR 2021 - [c19]Marie-Anne Lachaux, Baptiste Rozière, Marc Szafraniec, Guillaume Lample:
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages. NeurIPS 2021: 14967-14979 - [i21]Baptiste Rozière, Marie-Anne Lachaux, Marc Szafraniec, Guillaume Lample:
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages. CoRR abs/2102.07492 (2021) - [i20]Baptiste Rozière, Jie M. Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample:
Leveraging Automated Unit Tests for Unsupervised Code Translation. CoRR abs/2110.06773 (2021) - 2020
- [c18]Marie-Anne Lachaux, Armand Joulin, Guillaume Lample:
Target Conditioning for One-to-Many Generation. EMNLP (Findings) 2020: 2853-2862 - [c17]Guillaume Lample, François Charton:
Deep Learning For Symbolic Mathematics. ICLR 2020 - [c16]Baptiste Rozière, Marie-Anne Lachaux, Lowik Chanussot, Guillaume Lample:
Unsupervised Translation of Programming Languages. NeurIPS 2020 - [i19]Marie-Anne Lachaux, Baptiste Rozière, Lowik Chanussot, Guillaume Lample:
Unsupervised Translation of Programming Languages. CoRR abs/2006.03511 (2020) - [i18]François Charton
, Amaury Hayat, Guillaume Lample:
Deep Differential System Stability - Learning advanced computations from examples. CoRR abs/2006.06462 (2020) - [i17]Marie-Anne Lachaux, Armand Joulin, Guillaume Lample:
Target Conditioning for One-to-Many Generation. CoRR abs/2009.09758 (2020)
2010 – 2019
- 2019
- [c15]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: 6097-6110 - [c14]Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau:
Multiple-Attribute Text Rewriting. ICLR (Poster) 2019 - [c13]Alexis Conneau, Guillaume Lample:
Cross-lingual Language Model Pretraining. NeurIPS 2019: 7057-7067 - [c12]Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Large Memory Layers with Product Keys. NeurIPS 2019: 8546-8557 - [i16]Guillaume Lample, Alexis Conneau:
Cross-lingual Language Model Pretraining. CoRR abs/1901.07291 (2019) - [i15]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 abs/1902.01382 (2019) - [i14]Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin:
Augmenting Self-attention with Persistent Memory. CoRR abs/1907.01470 (2019) - [i13]Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Large Memory Layers with Product Keys. CoRR abs/1907.05242 (2019) - [i12]Guillaume Lample, François Charton:
Deep Learning for Symbolic Mathematics. CoRR abs/1912.01412 (2019) - 2018
- [c11]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: 2126-2136 - [c10]Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov:
XNLI: Evaluating Cross-lingual Sentence Representations. EMNLP 2018: 2475-2485 - [c9]Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato:
Phrase-Based & Neural Unsupervised Machine Translation. EMNLP 2018: 5039-5049 - [c8]Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato:
Unsupervised Machine Translation Using Monolingual Corpora Only. ICLR (Poster) 2018 - [c7]Guillaume Lample, Alexis Conneau, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Word translation without parallel data. ICLR (Poster) 2018 - [i11]Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato:
Phrase-Based & Neural Unsupervised Machine Translation. CoRR abs/1804.07755 (2018) - [i10]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 abs/1805.01070 (2018) - [i9]Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov:
XNLI: Evaluating Cross-lingual Sentence Representations. CoRR abs/1809.05053 (2018) - [i8]Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau:
Multiple-Attribute Text Style Transfer. CoRR abs/1811.00552 (2018) - 2017
- [c6]Guillaume Lample, Devendra Singh Chaplot:
Playing FPS Games with Deep Reinforcement Learning. AAAI 2017: 2140-2146 - [c5]Devendra Singh Chaplot, Guillaume Lample:
Arnold: An Autonomous Agent to Play FPS Games. AAAI 2017: 5085-5086 - [c4]Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato:
Fader Networks: Manipulating Images by Sliding Attributes. NIPS 2017: 5967-5976 - [i7]Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato:
Fader Networks: Manipulating Images by Sliding Attributes. CoRR abs/1706.00409 (2017) - [i6]Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Word Translation Without Parallel Data. CoRR abs/1710.04087 (2017) - [i5]Guillaume Lample, Ludovic Denoyer, Marc'Aurelio Ranzato:
Unsupervised Machine Translation Using Monolingual Corpora Only. CoRR abs/1711.00043 (2017) - 2016
- [c3]Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer:
Neural Architectures for Named Entity Recognition. HLT-NAACL 2016: 260-270 - [c2]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: 1357-1366 - [i4]Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, Noah A. Smith:
Massively Multilingual Word Embeddings. CoRR abs/1602.01925 (2016) - [i3]Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer:
Neural Architectures for Named Entity Recognition. CoRR abs/1603.01360 (2016) - [i2]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 abs/1605.03832 (2016) - [i1]Guillaume Lample, Devendra Singh Chaplot:
Playing FPS Games with Deep Reinforcement Learning. CoRR abs/1609.05521 (2016) - 2015
- [c1]Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Guillaume Lample, Chris Dyer:
Evaluation of Word Vector Representations by Subspace Alignment. EMNLP 2015: 2049-2054
Coauthor Index
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