| 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 | 12522 | 2023 |
| 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 | 2204 | 2024 |
| 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 | 1627 | 2023 |
| Augmented language models: a survey G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ... arXiv preprint arXiv:2302.07842, 2023 | 504 | 2023 |
| Unsupervised translation of programming languages B Roziere, MA Lachaux, L Chanussot, G Lample Advances in neural information processing systems 33, 20601-20611, 2020 | 445* | 2020 |
| 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 | 335* | 2023 |
| 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 | 276 | 2023 |
| Dobf: A deobfuscation pre-training objective for programming languages B Roziere, MA Lachaux, M Szafraniec, G Lample arXiv preprint arXiv:2102.07492, 2021 | 156* | 2021 |
| 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 | 127 | 2021 |
| The llama 3 herd of models, 2024 A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... URL https://arxiv. org/abs/2407.21783 2407, 21783, 0 | 97 | |
| Code translation with compiler representations M Szafraniec, B Roziere, H Leather, F Charton, P Labatut, G Synnaeve arXiv preprint arXiv:2207.03578, 2022 | 76 | 2022 |
| 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 | 63 | 2020 |
| The llama 3 herd of models A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ... arXiv e-prints, arXiv: 2407.21783, 2024 | 62 | 2024 |
| Polygames: Improved zero learning T Cazenave, YC Chen, GW Chen, SY Chen, XD Chiu, J Dehos, M Elsa, ... ICGA Journal 42 (4), 244-256, 2021 | 60 | 2021 |
| Code llama: Open foundation models for code.(2023) B Rozière, J Gehring, F Gloeckle, S Sootla, I Gat, XE Tan, Y Adi, J Liu, ... arXiv preprint arXiv:2308.12950, 2023 | 55 | 2023 |
| 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 | 54 | 2024 |
| 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 | 52 | 2024 |
| 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 | 50 | 2021 |
| Large language models for compiler optimization C Cummins, V Seeker, D Grubisic, M Elhoushi, Y Liang, B Roziere, ... arXiv preprint arXiv:2309.07062, 2023 | 41 | 2023 |
| 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 | 41 | 2020 |
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