| Multi-task learning based pre-trained language model for code completion F Liu, G Li, Y Zhao, Z Jin Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 222 | 2020 |
| Integrating tree path in transformer for code representation H Peng, G Li, W Wang, Y Zhao, Z Jin Advances in Neural Information Processing Systems 34, 9343-9354, 2021 | 53 | 2021 |
| Acecoder: Utilizing existing code to enhance code generation J Li, Y Zhao, Y Li, G Li, Z Jin arXiv preprint arXiv:2303.17780, 2023 | 25 | 2023 |
| Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models Y Zhu, J Li, G Li, YF Zhao, Z Jin, H Mei Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 437-445, 2024 | 24 | 2024 |
| Towards enhancing in-context learning for code generation J Li, Y Zhao, Y Li, G Li, Z Jin arXiv preprint arXiv:2303.17780, 2023 | 23 | 2023 |
| Rethinking positional encoding in tree transformer for code representation H Peng, G Li, Y Zhao, Z Jin Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 20 | 2022 |
| AceCoder: An Effective Prompting Technique Specialized in Code Generation J Li, Y Zhao, Y Li, G Li, Z Jin ACM Transactions on Software Engineering and Methodology 33 (8), 1-26, 2024 | 14 | 2024 |
| DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories J Li, G Li, Y Zhao, Y Li, H Liu, H Zhu, L Wang, K Liu, Z Fang, L Wang, ... arXiv preprint arXiv:2405.19856, 2024 | 13 | 2024 |
| Improving code generation by dynamic temperature sampling Y Zhu, JA Li, G Li, YF Zhao, J Li, Z Jin, H Mei arXiv preprint arXiv:2309.02772, 2023 | 12 | 2023 |
| Deveval: Evaluating code generation in practical software projects J Li, G Li, Y Zhao, Y Li, Z Jin, H Zhu, H Liu, K Liu, L Wang, Z Fang, L Wang, ... arXiv preprint arXiv:2401.06401, 2024 | 11 | 2024 |
| Improving domain-specific neural code generation with few-shot meta-learning Z Yang, JW Keung, Z Sun, Y Zhao, G Li, Z Jin, S Liu, Y Li Information and Software Technology 166, 107365, 2024 | 8 | 2024 |
| Deep learning for code generation: a survey H Zhang, K Zhang, Z Li, J Li, J Li, Y Li, Y Zhao, Y Zhu, F Liu, G Li, Z Jin Science China Information Sciences 67 (9), 191101, 2024 | 4 | 2024 |
| Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning Y Zhao, Y Dong, G Li Proceedings of the 14th Asia-Pacific Symposium on Internetware, 238-248, 2023 | 2 | 2023 |
| MCodeSearcher: Multi-View Contrastive Learning for Code Search J Li, F Liu, J Li, Y Zhao, G Li, Z Jin Proceedings of the 14th Asia-Pacific Symposium on Internetware, 270-280, 2023 | 2 | 2023 |
| Evocodebench: An evolving code generation benchmark with domain-specific evaluations J Li, G Li, X Zhang, Y Zhao, Y Dong, Z Jin, B Li, F Huang, Y Li arXiv preprint arXiv:2410.22821, 2024 | 1 | 2024 |
