| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... Journal of Machine Learning Research 25 (70), 1-53, 2024 | 3704 | 2024 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3572 | 2023 |
| Targeted backdoor attacks on deep learning systems using data poisoning X Chen, C Liu, B Li, K Lu, D Song arXiv preprint arXiv:1712.05526, 2017 | 2202 | 2017 |
| Delving into transferable adversarial examples and black-box attacks Y Liu, X Chen, C Liu, D Song arXiv preprint arXiv:1611.02770, 2016 | 2164 | 2016 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1408 | 2024 |
| Competition-level code generation with alphacode Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ... Science 378 (6624), 1092-1097, 2022 | 1212 | 2022 |
| Large language models as optimizers C Yang, X Wang, Y Lu, H Liu, QV Le, D Zhou, X Chen International Conference on Learning Representations (ICLR) 2024, 2023 | 771 | 2023 |
| Teaching large language models to self-debug X Chen, M Lin, N Schärli, D Zhou arXiv preprint arXiv:2304.05128, 2023 | 591 | 2023 |
| Large language models can be easily distracted by irrelevant context F Shi, X Chen, K Misra, N Scales, D Dohan, EH Chi, N Schärli, D Zhou International Conference on Machine Learning, 31210-31227, 2023 | 520* | 2023 |
| Learning to perform local rewriting for combinatorial optimization X Chen, Y Tian Advances in neural information processing systems 32, 2019 | 455 | 2019 |
| Adversarial example defense: Ensembles of weak defenses are not strong W He, J Wei, X Chen, N Carlini, D Song 11th USENIX workshop on offensive technologies (WOOT 17), 2017 | 453 | 2017 |
| Large language models cannot self-correct reasoning yet J Huang, X Chen, S Mishra, HS Zheng, AW Yu, X Song, D Zhou arXiv preprint arXiv:2310.01798, 2023 | 403 | 2023 |
| Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses M Goldblum, D Tsipras, C Xie, X Chen, A Schwarzschild, D Song, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1563-1580, 2022 | 402* | 2022 |
| Larger language models do in-context learning differently J Wei, J Wei, Y Tay, D Tran, A Webson, Y Lu, X Chen, H Liu, D Huang, ... arXiv preprint arXiv:2303.03846, 2023 | 335 | 2023 |
| Tree-to-tree neural networks for program translation X Chen, C Liu, D Song Advances in neural information processing systems 31, 2018 | 325 | 2018 |
| Execution-guided neural program synthesis X Chen, C Liu, D Song International Conference on Learning Representations, 2018 | 184 | 2018 |
| Large language models as tool makers T Cai, X Wang, T Ma, X Chen, D Zhou arXiv preprint arXiv:2305.17126, 2023 | 158 | 2023 |
| Compositional semantic parsing with large language models A Drozdov, N Schärli, E Akyürek, N Scales, X Song, X Chen, O Bousquet, ... arXiv preprint arXiv:2209.15003, 2022 | 148 | 2022 |
| Diversevul: A new vulnerable source code dataset for deep learning based vulnerability detection Y Chen, Z Ding, L Alowain, X Chen, D Wagner Proceedings of the 26th International Symposium on Research in Attacks …, 2023 | 147 | 2023 |
| Take a step back: Evoking reasoning via abstraction in large language models HS Zheng, S Mishra, X Chen, HT Cheng, EH Chi, QV Le, D Zhou arXiv preprint arXiv:2310.06117, 2023 | 142 | 2023 |
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
