Pandalm: An automatic evaluation benchmark for llm instruction tuning optimization Y Wang, Z Yu, Z Zeng, L Yang, C Wang, H Chen, C Jiang, R Xie, J Wang, ... arXiv preprint arXiv:2306.05087, 2023 | 211 | 2023 |
Graph enhanced dual attention network for document-level relation extraction B Li, W Ye, Z Sheng, R Xie, X Xi, S Zhang Proceedings of the 28th international conference on computational …, 2020 | 83 | 2020 |
Leveraging code generation to improve code retrieval and summarization via dual learning W Ye, R Xie, J Zhang, T Hu, X Wang, S Zhang Proceedings of The Web Conference 2020, 2309-2319, 2020 | 81 | 2020 |
Exploiting code knowledge graph for bug localization via bi-directional attention J Zhang, R Xie, W Ye, Y Zhang, S Zhang Proceedings of the 28th International Conference on Program Comprehension …, 2020 | 53 | 2020 |
Exploiting entity BIO tag embeddings and multi-task learning for relation extraction with imbalanced data W Ye, B Li, R Xie, Z Sheng, L Chen, S Zhang arXiv preprint arXiv:1906.08931, 2019 | 53 | 2019 |
Deeplink: A code knowledge graph based deep learning approach for issue-commit link recovery R Xie, L Chen, W Ye, Z Li, T Hu, D Du, S Zhang 2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019 | 37 | 2019 |
Exploring vision-language models for imbalanced learning Y Wang, Z Yu, J Wang, Q Heng, H Chen, W Ye, R Xie, X Xie, S Zhang International Journal of Computer Vision 132 (1), 224-237, 2024 | 34 | 2024 |
Exploiting method names to improve code summarization: A deliberation multi-task learning approach R Xie, W Ye, J Sun, S Zhang 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC …, 2021 | 27 | 2021 |
A hybrid character representation for chinese event detection X Xiangyu, Z Tong, Y Wei, Z Jinglei, X Rui, Z Shikun 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 25 | 2019 |
Low-resources project-specific code summarization R Xie, T Hu, W Ye, S Zhang Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 15 | 2022 |
Exploiting pseudo image captions for multimodal summarization C Jiang, R Xie, W Ye, J Sun, S Zhang arXiv preprint arXiv:2305.05496, 2023 | 13 | 2023 |
Coderujb: An executable and unified java benchmark for practical programming scenarios Z Zeng, Y Wang, R Xie, W Ye, S Zhang Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 9 | 2024 |
Codeshell technical report R Xie, Z Zeng, Z Yu, C Gao, S Zhang, W Ye arXiv preprint arXiv:2403.15747, 2024 | 8 | 2024 |
Exploiting method names to improve code summarization: A deliberation multi-task learning approach. In 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC) R Xie, W Ye, J Sun, S Zhang Conf. Program Comprehension, 138-148, 2021 | 6 | 2021 |
Pandalm: Reproducible and automated language model assessment Y Wang, Z Yu, Z Zeng, L Yang, Q Heng, C Wang, H Chen, C Jiang, R Xie, ... | 5 | 2023 |
Keyword-based source code summarization S Zhang, R Xie, W Ye, L Chen Journal of Computer Research and Development 57 (9), 1987, 2020 | 3 | 2020 |
Enhancing In-Context Learning via Implicit Demonstration Augmentation X Zhou, W Ye, Y Wang, C Jiang, Z Lee, R Xie, S Zhang arXiv preprint arXiv:2407.00100, 2024 | 2 | 2024 |
Pure: Aligning llm via pluggable query reformulation for enhanced helpfulness W Yao, Y Wang, Z Yu, R Xie, S Zhang, W Ye Findings of the Association for Computational Linguistics: EMNLP 2024, 8721-8744, 2024 | 1 | 2024 |
Improving Long-Tail Vulnerability Detection Through Data Augmentation Based on Large Language Models X Deng, F Duan, R Xie, W Ye, S Zhang 2024 IEEE International Conference on Software Maintenance and Evolution …, 2024 | 1 | 2024 |
Boosting model resilience via implicit adversarial data augmentation X Zhou, W Ye, Z Lee, R Xie, S Zhang arXiv preprint arXiv:2404.16307, 2024 | 1 | 2024 |