| Unified Pre-training for Program Understanding and Generation WU Ahmad, S Chakraborty, B Ray, KW Chang Annual Conference of the North American Chapter of the Association for …, 2021 | 628 | 2021 |
| Deep learning based vulnerability detection: Are we there yet? S Chakraborty, R Krishna, Y Ding, B Ray IEEE Transactions on Software Engineering 48 (9), 3280-3296, 2021 | 411 | 2021 |
| A Transformer-based Approach for Source Code Summarization W Ahmad, S Chakraborty, B Ray, KW Chang Association for Computational Linguistics, 4998--5007, 2020 | 386 | 2020 |
| Codit: Code editing with tree-based neural models S Chakraborty, Y Ding, M Allamanis, B Ray IEEE Transactions on Software Engineering 48 (4), 1385-1399, 2020 | 169* | 2020 |
| Retrieval Augmented Code Generation and Summarization MR Parvez, WU Ahmad, S Chakraborty, B Ray, KW Chang Findings of the Association for Computational Linguistics 2021 (ENMLP), 2719 …, 2021 | 99 | 2021 |
| Natgen: generative pre-training by “naturalizing” source code S Chakraborty, T Ahmed, Y Ding, PT Devanbu, B Ray Proceedings of the 30th ACM joint european software engineering conference …, 2022 | 87 | 2022 |
| Towards learning (dis)-similarity of source code from program contrasts Y Ding, L Buratti, S Pujar, A Morari, B Ray, S Chakraborty arXiv preprint arXiv:2110.03868, 2021 | 63* | 2021 |
| On multi-modal learning of editing source code S Chakraborty, B Ray 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 56 | 2021 |
| Building language models for text with named entities MR Parvez, S Chakraborty, B Ray, KW Chang 56th Annual Meeting of the Association for Computational Linguistics 1 (Long …, 2018 | 55 | 2018 |
| Avatar: A parallel corpus for java-python program translation WU Ahmad, MGR Tushar, S Chakraborty, KW Chang arXiv preprint arXiv:2108.11590, 2021 | 44 | 2021 |
| LLM-based Test-driven Interactive Code Generation: User Study and Empirical Evaluation S Fakhoury, A Naik, G Sakkas, S Chakraborty, SK Lahiri arXiv preprint arXiv:2404.10100, 2024 | 40* | 2024 |
| A heuristic initialized stochastic memetic algorithm for MDPVRP with interdependent depot operations AS Azad, M Islam, S Chakraborty IEEE Transactions on Cybernetics 47 (12), 4302-4315, 2017 | 30 | 2017 |
| Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages W Uddin Ahmad, S Chakraborty, B Ray, KW Chang arXiv e-prints, arXiv: 2205.11116, 2022 | 18* | 2022 |
| Towards generating functionally correct code edits from natural language issue descriptions S Fakhoury, S Chakraborty, M Musuvathi, SK Lahiri arXiv preprint arXiv:2304.03816, 2023 | 17 | 2023 |
| Toward optimal selection of information retrieval models for software engineering tasks MM Rahman, S Chakraborty, G Kaiser, B Ray 2019 19th International Working Conference on Source Code Analysis and …, 2019 | 14* | 2019 |
| Entropy guided spectrum based bug localization using statistical language model S Chakraborty, Y Li, M Irvine, R Saha, B Ray arXiv preprint arXiv:1802.06947, 2018 | 13 | 2018 |
| FP-ANK: An improvised intrusion detection system with hybridization of neural network and K-means clustering over feature selection by PCA NA Biswas, FM Shah, WM Tammi, S Chakraborty 2015 18th International Conference on Computer and Information Technology …, 2015 | 12 | 2015 |
| Ranking llm-generated loop invariants for program verification S Chakraborty, SK Lahiri, S Fakhoury, M Musuvathi, A Lal, A Rastogi, ... arXiv preprint arXiv:2310.09342, 2023 | 11 | 2023 |
| GrACE: Generation using Associated Code Edits P Gupta, A Khare, Y Bajpai, S Chakraborty, S Gulwani, A Kanade, ... arXiv preprint arXiv:2305.14129, 2023 | 10* | 2023 |
| Finding Inductive Loop Invariants using Large Language Models A Kamath, A Senthilnathan, S Chakraborty, P Deligiannis, SK Lahiri, A Lal, ... arXiv preprint arXiv:2311.07948, 2023 | 7 | 2023 |
Baishakhi RayAssociate Professor, Columbia University在 cs.columbia.edu 的电子邮件经过验证
