Magicoder: Empowering code generation with oss-instruct Y Wei, Z Wang, J Liu, Y Ding, L Zhang Forty-first International Conference on Machine Learning, 2024 | 220* | 2024 |
Advdoor: adversarial backdoor attack of deep learning system Q Zhang, Y Ding, Y Tian, J Guo, M Yuan, Y Jiang Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 73 | 2021 |
The Plastic Surgery Hypothesis in the Era of Large Language Models CS Xia, Y Ding, L Zhang 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 46* | 2023 |
Evaluating language models for efficient code generation J Liu, S Xie, J Wang, Y Wei, Y Ding, L Zhang arXiv preprint arXiv:2408.06450, 2024 | 9 | 2024 |
RepoQA: Evaluating Long Context Code Understanding J Liu, JL Tian, V Daita, Y Wei, Y Ding, YK Wang, J Yang, L Zhang arXiv preprint arXiv:2406.06025, 2024 | 7 | 2024 |
CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems Q Zhang, Y Tian, Y Ding, S Li, C Sun, Y Jiang, J Sun Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 5 | 2023 |
Selfcodealign: Self-alignment for code generation Y Wei, F Cassano, J Liu, Y Ding, N Jain, Z Mueller, H de Vries, ... arXiv preprint arXiv:2410.24198, 2024 | 2 | 2024 |
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts Y Ding, J Liu, Y Wei, L Zhang Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 2 | 2024 |
Horizon-length prediction: Advancing fill-in-the-middle capabilities for code generation with lookahead planning Y Ding, H Ding, S Wang, Q Sun, V Kumar, Z Wang arXiv preprint arXiv:2410.03103, 2024 | 1 | 2024 |