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 | 453 | 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 | 135* | 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 | 94 | 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 | 56 | 2023 |
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 | 39 | 2022 |
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 | 18 | 2021 |
White-box compiler fuzzing empowered by large language models C Yang, Y Deng, R Lu, J Yao, J Liu, R Jabbarvand, L Zhang arXiv preprint arXiv:2310.15991, 2023 | 17 | 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 | 14* | 2024 |
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 | 10 | 2023 |
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 | 7 | 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 | 3 | 2024 |
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 | 1 | 2024 |
Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development S Feng, J Liu, R Lai, CF Ruan, Y Yu, L Zhang, T Chen arXiv preprint arXiv:2404.09151, 2024 | 1 | 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 | | 2024 |