| Evaluating and improving chatgpt for unit test generation Z Yuan, M Liu, S Ding, K Wang, Y Chen, X Peng, Y Lou Proceedings of the ACM on Software Engineering 1 (FSE), 1703-1726, 2024 | 183* | 2024 |
| Evaluating instruction-tuned large language models on code comprehension and generation Z Yuan, J Liu, Q Zi, M Liu, X Peng, Y Lou arXiv preprint arXiv:2308.01240, 2023 | 71 | 2023 |
| Prompt-tuned code language model as a neural knowledge base for type inference in statically-typed partial code Q Huang, Z Yuan, Z Xing, X Xu, L Zhu, Q Lu Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 45 | 2022 |
| 1+ 1> 2: Programming know-what and know-how knowledge fusion, semantic enrichment and coherent application Q Huang, Z Yuan, Z Xing, Z Zuo, C Wang, X Xia IEEE Transactions on Services Computing 16 (3), 1540-1554, 2022 | 16 | 2022 |
| Se factual knowledge in frozen giant code model: A study on fqn and its retrieval Q Huang, D Liao, Z Xing, Z Yuan, Q Lu, X Xu, J Lu IEEE Transactions on Knowledge and Data Engineering 36 (12), 9220-9234, 2024 | 11 | 2024 |
| Transagent: An llm-based multi-agent system for code translation Z Yuan, W Chen, H Wang, K Yu, X Peng, Y Lou arXiv preprint arXiv:2409.19894, 2024 | 3 | 2024 |
| Fqn inference in partial code by prompt-tuned language model of code Q Huang, Z Yuan, Z Xing, X Peng, X Xu, Q Lu ACM Transactions on Software Engineering and Methodology 33 (2), 1-32, 2023 | 2 | 2023 |