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Thibaut Lavril
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2020 – today
- 2024
- [i14]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) - 2023
- [i13]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) - [i12]Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - [i11]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
- [c5]Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari:
Memory-Augmented Reinforcement Learning for Image-Goal Navigation. IROS 2022: 3316-3323 - [c4]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 - [i10]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) - 2021
- [i9]Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari:
Memory-Augmented Reinforcement Learning for Image-Goal Navigation. CoRR abs/2101.05181 (2021) - 2020
- [i8]Angela Fan, Thibaut Lavril, Edouard Grave, Armand Joulin, Sainbayar Sukhbaatar:
Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. CoRR abs/2002.09402 (2020) - [i7]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, Kevin Tran, Brandon M. Wood, Junwoong Yoon, Devi Parikh, Zachary W. Ulissi:
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. CoRR abs/2010.09435 (2020) - [i6]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, Brandon M. Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi:
The Open Catalyst 2020 (OC20) Dataset and Community Challenges. CoRR abs/2010.09990 (2020)
2010 – 2019
- 2019
- [c3]David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau:
Federated Learning for Keyword Spotting. ICASSP 2019: 6341-6345 - [c2]Alice Coucke, Mohammed Chlieh, Thibault Gisselbrecht, David Leroy, Mathieu Poumeyrol, Thibaut Lavril:
Efficient Keyword Spotting Using Dilated Convolutions and Gating. ICASSP 2019: 6351-6355 - [c1]Alaa Saade, Joseph Dureau, David Leroy, Francesco Caltagirone, Alice Coucke, Adrien Ball, Clément Doumouro, Thibaut Lavril, Alexandre Caulier, Théodore Bluche, Thibault Gisselbrecht, Maël Primet:
Spoken Language Understanding on the Edge. EMC2@NeurIPS 2019: 57-61 - [i5]Heinrich Küttler, Nantas Nardelli, Thibaut Lavril, Marco Selvatici, Viswanath Sivakumar, Tim Rocktäschel, Edward Grefenstette:
TorchBeast: A PyTorch Platform for Distributed RL. CoRR abs/1910.03552 (2019) - 2018
- [i4]Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, Maël Primet, Joseph Dureau:
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces. CoRR abs/1805.10190 (2018) - [i3]David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau:
Federated Learning for Keyword Spotting. CoRR abs/1810.05512 (2018) - [i2]Alaa Saade, Alice Coucke, Alexandre Caulier, Joseph Dureau, Adrien Ball, Théodore Bluche, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, Maël Primet:
Spoken Language Understanding on the Edge. CoRR abs/1810.12735 (2018) - [i1]Alice Coucke, Mohammed Chlieh, Thibault Gisselbrecht, David Leroy, Mathieu Poumeyrol, Thibaut Lavril:
Efficient keyword spotting using dilated convolutions and gating. CoRR abs/1811.07684 (2018)
Coauthor Index
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last updated on 2024-04-24 22:50 CEST by the dblp team
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