Saikat Chakraborty
Saikat Chakraborty
Senior Researcher at Microsoft Research
Verified email at - Homepage
Cited by
Cited by
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
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
A Transformer-based Approach for Source Code Summarization
W Ahmad, S Chakraborty, B Ray, KW Chang
Association for Computational Linguistics, 4998--5007, 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
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
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
On multi-modal learning of editing source code
S Chakraborty, B Ray
2021 36th IEEE/ACM International Conference on Automated Software …, 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
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
Avatar: A parallel corpus for java-python program translation
WU Ahmad, MGR Tushar, S Chakraborty, KW Chang
arXiv preprint arXiv:2108.11590, 2021
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
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
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
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
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
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
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
GrACE: Generation using Associated Code Edits
P Gupta, A Khare, Y Bajpai, S Chakraborty, S Gulwani, A Kanade, ...
arXiv preprint arXiv:2305.14129, 2023
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
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
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