Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces. - Alice Coucke; Alaa Saade; Adrien Ball; Théodore Bluche; Alexandre Caulier; David Leroy; Clément Doumouro; Thibault Gisselbrecht; Francesco Caltagirone; Thibaut Lavril; Maël Primet; Joseph Dureau (CoRR, 2018)

Efficient Keyword Spotting Using Dilated Convolutions and Gating. - Alice Coucke; Mohammed Chlieh; Thibault Gisselbrecht; David Leroy; Mathieu Poumeyrol; Thibaut Lavril (ICASSP, 2019)

Federated Learning for Keyword Spotting. - David Leroy; Alice Coucke; Thibaut Lavril; Thibault Gisselbrecht; Joseph Dureau (ICASSP, 2019)

Spoken Language Understanding on the Edge. - Alaa Saade; Joseph Dureau; David Leroy; Francesco Caltagirone; Alice Coucke; Adrien Ball; Clément Doumouro; Thibaut Lavril; Alexandre Caulier; Théodore Bluche; Thibault Gisselbrecht; Maël Primet (EMC2@NeurIPS, 2019)

TorchBeast: A PyTorch Platform for Distributed RL. - Heinrich Küttler; Nantas Nardelli; Thibaut Lavril; Marco Selvatici; Viswanath Sivakumar; Tim Rocktäschel; Edward Grefenstette (CoRR, 2019)

Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. - Angela Fan; Thibaut Lavril; Edouard Grave; Armand Joulin; Sainbayar Sukhbaatar (CoRR, 2020)

An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. - C. Lawrence Zitnick; Lowik Chanussot; Abhishek Das; Siddharth Goyal; Javier Heras-Domingo; Caleb Ho; Weihua Hu; Thibaut Lavril; Aini Palizhati; Morgane Riviere; Muhammed Shuaibi; Anuroop Sriram; et al. (CoRR, 2020)

The Open Catalyst 2020 (OC20) Dataset and Community Challenges. - Lowik Chanussot; Abhishek Das; Siddharth Goyal; Thibaut Lavril; Muhammed Shuaibi; Morgane Riviere; Kevin Tran; Javier Heras-Domingo; Caleb Ho; Weihua Hu; Aini Palizhati; Anuroop Sriram; et al. (CoRR, 2020)

Memory-Augmented Reinforcement Learning for Image-Goal Navigation. - Lina Mezghani; Sainbayar Sukhbaatar; Thibaut Lavril; Oleksandr Maksymets; Dhruv Batra; Piotr Bojanowski; Karteek Alahari (IROS, 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)

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)

Llama 2: Open Foundation and Fine-Tuned Chat Models. - Hugo Touvron; Louis Martin; Kevin Stone; Peter Albert; Amjad Almahairi; Yasmine Babaei; Nikolay Bashlykov; Soumya Batra; Prajjwal Bhargava; Shruti Bhosale; Dan Bikel; Lukas Blecher; 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)