Evaluation of Word Vector Representations by Subspace Alignment. - Yulia Tsvetkov; Manaal Faruqui; Wang Ling; Guillaume Lample; Chris Dyer (EMNLP, 2015)

Neural Architectures for Named Entity Recognition. - Guillaume Lample; Miguel Ballesteros; Sandeep Subramanian; Kazuya Kawakami; Chris Dyer (HLT-NAACL, 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 (HLT-NAACL, 2016)

Massively Multilingual Word Embeddings. - Waleed Ammar; George Mulcaire; Yulia Tsvetkov; Guillaume Lample; Chris Dyer; Noah A. Smith (CoRR, 2016)

Arnold: An Autonomous Agent to Play FPS Games. - Devendra Singh Chaplot; Guillaume Lample (AAAI, 2017)

Playing FPS Games with Deep Reinforcement Learning. - Guillaume Lample; Devendra Singh Chaplot (AAAI, 2017)

Fader Networks: Manipulating Images by Sliding Attributes. - Guillaume Lample; Neil Zeghidour; Nicolas Usunier; Antoine Bordes; Ludovic Denoyer; Marc'Aurelio Ranzato (NIPS, 2017)

Unsupervised Machine Translation Using Monolingual Corpora Only. - Guillaume Lample; Ludovic Denoyer; Marc'Aurelio Ranzato (CoRR, 2017)

What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties. - Alexis Conneau; Germán Kruszewski; Guillaume Lample; Loïc Barrault; Marco Baroni (ACL (1), 2018)

XNLI: Evaluating Cross-lingual Sentence Representations. - Alexis Conneau; Ruty Rinott; Guillaume Lample; Adina Williams; Samuel R. Bowman; Holger Schwenk; Veselin Stoyanov (EMNLP, 2018)

Phrase-Based & Neural Unsupervised Machine Translation. - Guillaume Lample; Myle Ott; Alexis Conneau; Ludovic Denoyer; Marc'Aurelio Ranzato (EMNLP, 2018)

Unsupervised Machine Translation Using Monolingual Corpora Only. - Guillaume Lample; Alexis Conneau; Ludovic Denoyer; Marc'Aurelio Ranzato (ICLR (Poster), 2018)

Word translation without parallel data. - Guillaume Lample; Alexis Conneau; Marc'Aurelio Ranzato; Ludovic Denoyer; Hervé Jégou (ICLR (Poster), 2018)

Multiple-Attribute Text Style Transfer. - Sandeep Subramanian; Guillaume Lample; Eric Michael Smith; Ludovic Denoyer; Marc'Aurelio Ranzato; Y-Lan Boureau (CoRR, 2018)

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 (EMNLP/IJCNLP (1), 2019)

Multiple-Attribute Text Rewriting. - Guillaume Lample; Sandeep Subramanian; Eric Michael Smith; Ludovic Denoyer; Marc'Aurelio Ranzato; Y-Lan Boureau (ICLR (Poster), 2019)

Cross-lingual Language Model Pretraining. - Alexis Conneau; Guillaume Lample (NeurIPS, 2019)

Large Memory Layers with Product Keys. - Guillaume Lample; Alexandre Sablayrolles; Marc'Aurelio Ranzato; Ludovic Denoyer; Hervé Jégou (NeurIPS, 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)

Augmenting Self-attention with Persistent Memory. - Sainbayar Sukhbaatar; Edouard Grave; Guillaume Lample; Hervé Jégou; Armand Joulin (CoRR, 2019)

Target Conditioning for One-to-Many Generation. - Marie-Anne Lachaux; Armand Joulin; Guillaume Lample (EMNLP (Findings), 2020)

Deep Learning For Symbolic Mathematics. - Guillaume Lample; François Charton (ICLR, 2020)

Unsupervised Translation of Programming Languages. - Baptiste Rozière; Marie-Anne Lachaux; Lowik Chanussot; Guillaume Lample (NeurIPS, 2020)

Deep Differential System Stability - Learning advanced computations from examples. - François Charton; Amaury Hayat; Guillaume Lample (CoRR, 2020)

Learning advanced mathematical computations from examples. - François Charton; Amaury Hayat; Guillaume Lample (ICLR, 2021)

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages. - Marie-Anne Lachaux; Baptiste Rozière; Marc Szafraniec; Guillaume Lample (NeurIPS, 2021)

Leveraging Automated Unit Tests for Unsupervised Code Translation. - Baptiste Rozière; Jie Zhang 050; François Charton; Mark Harman; Gabriel Synnaeve; Guillaume Lample (ICLR, 2022)

Deep symbolic regression for recurrence prediction. - Stéphane d'Ascoli; Pierre-Alexandre Kamienny; Guillaume Lample; François Charton (ICML, 2022)

End-to-end Symbolic Regression with Transformers. - Pierre-Alexandre Kamienny; Stéphane d'Ascoli; Guillaume Lample; François Charton (NeurIPS, 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 (NeurIPS, 2022)

Deep Symbolic Regression for Recurrent Sequences. - Stéphane d'Ascoli; Pierre-Alexandre Kamienny; Guillaume Lample; François Charton (CoRR, 2022)

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs. - Albert Qiaochu Jiang; Sean Welleck; Jin Peng Zhou; Timothée Lacroix; Jiacheng Liu 010; Wenda Li; Mateja Jamnik; Guillaume Lample; Yuhuai Wu (ICLR, 2023)

Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search. - Pierre-Alexandre Kamienny; Guillaume Lample; Sylvain Lamprier; Marco Virgolin (ICML, 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 001; Eric Hambro; Faisal Azhar; Aurélien Rodriguez; Armand Joulin; et al. (CoRR, 2023)

Mistral 7B. - Albert Q. Jiang; Alexandre Sablayrolles; Arthur Mensch; Chris Bamford 001; Devendra Singh Chaplot; Diego de Las Casas; Florian Bressand; Gianna Lengyel; Guillaume Lample; Lucile Saulnier; Lélio Renard Lavaud; Marie-Anne Lachaux; et al. (CoRR, 2023)

Mixtral of Experts. - Albert Q. Jiang; Alexandre Sablayrolles; Antoine Roux; Arthur Mensch; Blanche Savary; Chris Bamford 001; Devendra Singh Chaplot; Diego de Las Casas; Emma Bou Hanna; Florian Bressand; Gianna Lengyel; Guillaume Bour; et al. (CoRR, 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; et al. (CoRR, 2024)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)