| Llama: Open and efficient foundation language models H Touvron, T Lavril, G Izacard, X Martinet, MA Lachaux, T Lacroix, ... arXiv preprint arXiv:2302.13971, 2023 | 8982 | 2023 |
| Code llama: Open foundation models for code B Roziere, J Gehring, F Gloeckle, S Sootla, I Gat, XE Tan, Y Adi, J Liu, ... arXiv preprint arXiv:2308.12950, 2023 | 1065 | 2023 |
| Augmented language models: a survey G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ... arXiv preprint arXiv:2302.07842, 2023 | 400 | 2023 |
| Unsupervised translation of programming languages B Roziere, MA Lachaux, L Chanussot, G Lample Advances in neural information processing systems 33, 20601-20611, 2020 | 377* | 2020 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 220 | 2024 |
| LLaMA: open and efficient foundation language models. arXiv H Touvron, T Lavril, G Izacard, X Martinet, MA Lachaux, T Lacroix, ... arXiv preprint arXiv:2302.13971, 2023 | 162 | 2023 |
| Dobf: A deobfuscation pre-training objective for programming languages B Roziere, MA Lachaux, M Szafraniec, G Lample arXiv preprint arXiv:2102.07492, 2021 | 140* | 2021 |
| Llama: Open and efficient foundation language models. arXiv 2023 H Touvron, T Lavril, G Izacard, X Martinet, MA Lachaux, T Lacroix, ... arXiv preprint arXiv:2302.13971 10, 2023 | 128 | 2023 |
| Leveraging automated unit tests for unsupervised code translation B Roziere, JM Zhang, F Charton, M Harman, G Synnaeve, G Lample arXiv preprint arXiv:2110.06773, 2021 | 94 | 2021 |
| Adversarial attacks on linear contextual bandits E Garcelon, B Roziere, L Meunier, J Tarbouriech, O Teytaud, A Lazaric, ... Advances in Neural Information Processing Systems 33, 14362-14373, 2020 | 61 | 2020 |
| Polygames: Improved zero learning T Cazenave, YC Chen, GW Chen, SY Chen, XD Chiu, J Dehos, M Elsa, ... ICGA Journal 42 (4), 244-256, 2020 | 53 | 2020 |
| Code translation with compiler representations M Szafraniec, B Roziere, H Leather, F Charton, P Labatut, G Synnaeve arXiv preprint arXiv:2207.03578, 2022 | 47 | 2022 |
| Black-box optimization revisited: Improving algorithm selection wizards through massive benchmarking L Meunier, H Rakotoarison, PK Wong, B Roziere, J Rapin, O Teytaud, ... IEEE Transactions on Evolutionary Computation 26 (3), 490-500, 2021 | 43 | 2021 |
| Versatile black-box optimization J Liu, A Moreau, M Preuss, J Rapin, B Roziere, F Teytaud, O Teytaud Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 620-628, 2020 | 35 | 2020 |
| Algorithm portfolios for noisy optimization ML Cauwet, J Liu, B Rozière, O Teytaud Annals of Mathematics and Artificial Intelligence 76, 143-172, 2016 | 30 | 2016 |
| Large language models for compiler optimization C Cummins, V Seeker, D Grubisic, M Elhoushi, Y Liang, B Roziere, ... arXiv preprint arXiv:2309.07062, 2023 | 27 | 2023 |
| Better & faster large language models via multi-token prediction F Gloeckle, BY Idrissi, B Rozière, D Lopez-Paz, G Synnaeve arXiv preprint arXiv:2404.19737, 2024 | 24 | 2024 |
| Cruxeval: A benchmark for code reasoning, understanding and execution A Gu, B Rozière, H Leather, A Solar-Lezama, G Synnaeve, SI Wang arXiv preprint arXiv:2401.03065, 2024 | 24 | 2024 |
| Inspirational adversarial image generation B Rozière, M Riviere, O Teytaud, J Rapin, Y LeCun, C Couprie IEEE Transactions on Image Processing 30, 4036-4045, 2021 | 22 | 2021 |
| Evolgan: Evolutionary generative adversarial networks B Roziere, F Teytaud, V Hosu, H Lin, J Rapin, M Zameshina, O Teytaud Proceedings of the Asian Conference on Computer Vision, 2020 | 21 | 2020 |
Guillaume LampleMistral AIVerified email at mistral.ai
