| Self-Edit: Fault-Aware Code Editor for Code Generation K Zhang, Z Li, J Li, G Li, Z Jin Annual Meeting of the Association for Computational Linguistics (ACL), 2023 | 99 | 2023 |
| Structured chain-of-thought prompting for code generation J Li♂, G Li, Y Li, Z Jin ACM Transactions on Software Engineering and Methodology, 2023 | 98* | 2023 |
| Editsum: A retrieve-and-edit framework for source code summarization J Li, Y Li, G Li, X Hu, X Xia, Z Jin IEEE International Conference on Automated Software Engineering (ASE), 155-166, 2021 | 63 | 2021 |
| 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 | 59* | 2024 |
| SkCoder: A Sketch-based Approach for Automatic Code Generation J Li, Y Li, G Li, Z Jin, Y Hao, X Hu International Conference on Software Engineering (ICSE), 2023 | 56 | 2023 |
| Toolcoder: Teach code generation models to use api search tools K Zhang, H Zhang, G Li, J Li, Z Li, Z Jin arXiv preprint arXiv:2305.04032, 2023 | 40 | 2023 |
| Emotional editing constraint conversation content generation based on reinforcement learning X Sun, J Li, X Wei, C Li, J Tao Information Fusion 56, 70-80, 2020 | 40* | 2020 |
| Exploring and unleashing the power of large language models in automated code translation Z Yang, F Liu, Z Yu, JW Keung, J Li, S Liu, Y Hong, X Ma, Z Jin, G Li Proceedings of the ACM on Software Engineering 1 (FSE), 1585-1608, 2024 | 38 | 2024 |
| Poison Attack and Poison Detection on Deep Source Code Processing Models J Li, Z Li, HZ Zhang, G Li, Z Jin, X Hu, X Xia ACM Transactions on Software Engineering and Methodology (TOSEM), 2023 | 36* | 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 | 35* | 2024 |
| Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively Z Haojie, G Li, J Li, Z Zhang, Y Zhu, Z Jin Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 32* | 2022 |
| CodeEditor: Learning to Edit Source Code with Pre-trained Models J Li, G Li, Z Li, Z Jin, X Hu, K Zhang, Z Fu ACM Transactions on Software Engineering and Methodology (TOSEM), 2022 | 31 | 2022 |
| Large language model-aware in-context learning for code generation J Li, G Li, C Tao, H Zhang, F Liu, Z Jin arXiv preprint arXiv:2310.09748, 2023 | 27 | 2023 |
| 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 | 22* | 2024 |
| 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 | 21* | 2024 |
| ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation Z Wang, J Li, G Li, Z Jin arXiv preprint arXiv:2311.00272, 2023 | 10 | 2023 |
| Emotional conversation generation based on a Bayesian deep neural network X Sun, J Li, X Wei, C Li, J Tao ACM Transactions on Information Systems (TOIS) 38 (1), 1-24, 2019 | 10 | 2019 |
| ZC 3: Zero-Shot Cross-Language Code Clone Detection J Li, C Tao, Z Jin, F Liu, G Li The 38th IEEE/ACM International Conference on Automated Software Engineering …, 2023 | 6 | 2023 |
| aixcoder-7b: A lightweight and effective large language model for code completion S Jiang, J Li, H Zong, H Liu, H Zhu, S Hu, E Li, J Ding, Y Han, W Ning, ... arXiv preprint arXiv:2410.13187, 2024 | 3 | 2024 |
| FAN: Fourier Analysis Networks Y Dong, G Li, Y Tao, X Jiang, K Zhang, J Li, J Su, J Zhang, J Xu arXiv preprint arXiv:2410.02675, 2024 | 3 | 2024 |
Ge LiFull Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn
