| Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation J Liu, CS Xia, Y Wang, L Zhang Advances in Neural Information Processing Systems 36, 2024 | 744 | 2024 |
| 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 | 229* | 2024 |
| Starcoder 2 and the stack v2: The next generation A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ... arXiv preprint arXiv:2402.19173, 2024 | 191 | 2024 |
| NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers J Liu, J Lin, F Ruffy, C Tan, J Li, A Panda, L Zhang Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 67 | 2023 |
| Bigcodebench: Benchmarking code generation with diverse function calls and complex instructions TY Zhuo, MC Vu, J Chim, H Hu, W Yu, R Widyasari, INB Yusuf, H Zhan, ... arXiv preprint arXiv:2406.15877, 2024 | 58* | 2024 |
| Coverage-guided tensor compiler fuzzing with joint ir-pass mutation J Liu, Y Wei, S Yang, Y Deng, L Zhang Proceedings of the ACM on Programming Languages 6 (OOPSLA1), 1-26, 2022 | 42 | 2022 |
| Whitefox: White-box compiler fuzzing empowered by large language models C Yang, Y Deng, R Lu, J Yao, J Liu, R Jabbarvand, L Zhang Proceedings of the ACM on Programming Languages 8 (OOPSLA2), 709-735, 2024 | 30 | 2024 |
| Fast and flexible human pose estimation with hyperpose Y Guo, J Liu, G Li, L Mai, H Dong Proceedings of the 29th ACM International Conference on Multimedia, 3763-3766, 2021 | 19 | 2021 |
| Neuri: Diversifying dnn generation via inductive rule inference J Liu, J Peng, Y Wang, L Zhang Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 15 | 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 | 13 | 2024 |
| Relax: Composable Abstractions for End-to-End Dynamic Machine Learning R Lai, J Shao, S Feng, SS Lyubomirsky, B Hou, W Lin, Z Ye, H Jin, Y Jin, ... arXiv preprint arXiv:2311.02103, 2023 | 9 | 2023 |
| 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 |
| Learning code preference via synthetic evolution J Liu, T Nguyen, M Shang, H Ding, X Li, Y Yu, V Kumar, Z Wang arXiv preprint arXiv:2410.03837, 2024 | 4 | 2024 |
| 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 | 3 | 2024 |
| XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts Y Ding, J Liu, Y Wei, TY Zhuo, L Zhang arXiv preprint arXiv:2404.15247, 2024 | 2 | 2024 |
