CURE: Code-Aware Neural Machine Translation for Automatic Program Repair N Jiang, T Lutellier, L Tan 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 286 | 2021 |
Impact of Code Language Models on Automated Program Repair N Jiang, K Liu, T Lutellier, L Tan 2023 IEEE/ACM 45rd International Conference on Software Engineering (ICSE), 2023 | 129 | 2023 |
Quantifying the Spatial Homogeneity of Urban Road Networks via Graph Neural Networks J Xue, N Jiang, S Liang, Q Pang, T Yabe, SV Ukkusuri, J Ma Nature Machine Intelligence 4 (3), 246-257, 2022 | 46 | 2022 |
How effective are neural networks for fixing security vulnerabilities Y Wu, N Jiang, HV Pham, T Lutellier, J Davis, L Tan, P Babkin, S Shah Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 45 | 2023 |
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair N Jiang, T Lutellier, Y Lou, L Tan, D Goldwasser, X Zhang 2023 IEEE/ACM 45rd International Conference on Software Engineering (ICSE), 2023 | 38* | 2023 |
Impact of large language models on generating software specifications D Xie, B Yoo, N Jiang, M Kim, L Tan, X Zhang, JS Lee arXiv preprint arXiv:2306.03324, 2023 | 13 | 2023 |
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning N Jiang, C Wang, K Liu, X Xu, L Tan, X Zhang arXiv preprint arXiv:2311.13721, 2023 | 6* | 2023 |
Leveraging Generative Models to Recover Variable Names from Stripped Binary X Xu, Z Zhang, Z Su, Z Huang, S Feng, Y Ye, N Jiang, D Xie, S Cheng, ... arXiv preprint arXiv:2306.02546, 2023 | 4* | 2023 |
A Deep Dive into Large Language Models for Automated Bug Localization and Repair S Binta Hossain, N Jiang, Q Zhou, X Li, WH Chiang, Y Lyu, H Nguyen, ... arXiv e-prints, arXiv: 2404.11595, 2024 | 2* | 2024 |
Training LLMs to Better Self-Debug and Explain Code N Jiang, X Li, S Wang, Q Zhou, SB Hossain, B Ray, V Kumar, X Ma, ... arXiv preprint arXiv:2405.18649, 2024 | | 2024 |