Evaluating large language models in class-level code generation X Du, M Liu, K Wang, H Wang, J Liu, Y Chen, J Feng, C Sha, X Peng, ... Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 112* | 2024 |
Codegen4libs: A two-stage approach for library-oriented code generation M Liu, T Yang, Y Lou, X Du, Y Wang, X Peng 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 19 | 2023 |
Recommending analogical APIS via knowledge graph embedding M Liu, Y Yang, Y Lou, X Peng, Z Zhou, X Du, T Yang Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 7 | 2023 |
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG X Du, G Zheng, K Wang, J Feng, W Deng, M Liu, B Chen, X Peng, T Ma, ... arXiv preprint arXiv:2406.11147, 2024 | 5 | 2024 |
Resolving Crash Bugs via Large Language Models: An Empirical Study X Du, M Liu, J Li, H Wang, X Peng, Y Lou arXiv preprint arXiv:2312.10448, 2023 | 4 | 2023 |
Knowledge graph based explainable question retrieval for programming tasks M Liu, S Yu, X Peng, X Du, T Yang, H Xu, G Zhang 2023 IEEE International Conference on Software Maintenance and Evolution …, 2023 | 3 | 2023 |
Kg4crasolver: Recommending crash solutions via knowledge graph X Du, Y Lou, M Liu, X Peng, T Yang Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 2 | 2023 |
面向链接预测的知识图谱表示学习方法综述 杜雪盈, 刘名威, 沈立炜, 彭鑫 软件学报 35 (1), 87-117, 2023 | | 2023 |