Saikat Chakraborty

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 58

Top Topics

Similarity Metric

Software Engineering

Empirical Evaluation

Top Venues

IEEE Trans. Software Eng.

Publications

Saikat Chakraborty, Gabriel Ebner, Siddharth Bhat, Sarah Fakhoury, Sakina Fatima, Shuvendu K. Lahiri, Nikhil Swamy
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming. CoRR (2024)
Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Madan Musuvathi, Shuvendu K. Lahiri
Exploring the Effectiveness of LLM based Test-driven Interactive Code Generation: User Study and Empirical Evaluation. ICSE Companion (2024)
Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
Towards Causal Deep Learning for Vulnerability Detection. ICSE (2024)
Toufique Ahmed, Christian Bird, Premkumar T. Devanbu, Saikat Chakraborty
Studying LLM Performance on Closed- and Open-source Data. CoRR (2024)
Saikat Chakraborty, Jaydeep P. Kulkarni
Analyzing the Dynamics of Store Mechanism and Data Retention through Transient Simulations in Si/Ge TRAM for Cryogenic Memory Applications. DRC (2024)
Changshu Liu, Pelin Çetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding
Automated Code Editing with Search-Generate-Modify. ICSE Companion (2024)
Changshu Liu, Pelin Çetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding
Automated Code Editing With Search-Generate-Modify. IEEE Trans. Software Eng. 50 (7) (2024)
Sarah Fakhoury, Saikat Chakraborty, Madanlal Musuvathi, Shuvendu K. Lahiri
NL2Fix: Generating Functionally Correct Code Edits from Bug Descriptions. ICSE Companion (2024)
Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, Shuvendu K. Lahiri
Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions? Proc. ACM Softw. Eng. 1 (FSE) (2024)
Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu K. Lahiri
LLM-based Test-driven Interactive Code Generation: User Study and Empirical Evaluation. CoRR (2024)
Aniketh Malyala, Katelyn Zhou, Baishakhi Ray, Saikat Chakraborty
On ML-Based Program Translation: Perils and Promises. ICSE (NIER) (2023)
Priyanshu Gupta, Avishree Khare, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
Grace: Language Models Meet Code Edits. ESEC/SIGSOFT FSE (2023)
Anthony Saieva, Saikat Chakraborty, Gail E. Kaiser
On Contrastive Learning of Semantic Similarity forCode to Code Search. CoRR (2023)
Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury, Madanlal Musuvathi, Akash Lal, Aseem Rastogi, Aditya Senthilnathan, Rahul Sharma, Nikhil Swamy
Ranking LLM-Generated Loop Invariants for Program Verification. CoRR (2023)
Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, Shuvendu K. Lahiri
Formalizing Natural Language Intent into Program Specifications via Large Language Models. CoRR (2023)
Saikat Chakraborty, Noble Thomas, Anup Nandy
Gait Event Prediction of People with Cerebral Palsy using Feature Uncertainty: A Low-Cost Approach. ICMI (2023)
Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang
AVATAR: A Parallel Corpus for Java-Python Program Translation. ACL (Findings) (2023)
Priyanshu Gupta, Avishree Khare, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
GrACE: Generation using Associated Code Edits. CoRR (2023)
Sarah Fakhoury, Saikat Chakraborty, Madan Musuvathi, Shuvendu K. Lahiri
Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions. CoRR (2023)
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
CONCORD: Clone-Aware Contrastive Learning for Source Code. ISSTA (2023)
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
CONCORD: Clone-aware Contrastive Learning for Source Code. CoRR (2023)
Adharsh Kamath, Aditya Senthilnathan, Saikat Chakraborty, Pantazis Deligiannis, Shuvendu K. Lahiri, Akash Lal, Aseem Rastogi, Subhajit Roy, Rahul Sharma
Finding Inductive Loop Invariants using Large Language Models. CoRR (2023)
Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
Towards Causal Deep Learning for Vulnerability Detection. CoRR (2023)
Aniketh Malyala, Katelyn Zhou, Baishakhi Ray, Saikat Chakraborty
On ML-Based Program Translation: Perils and Promises. CoRR (2023)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. EACL (2023)
Changshu Liu, Pelin Çetin, Yogesh Patodia, Saikat Chakraborty, Yangruibo Ding, Baishakhi Ray
Automated Code Editing with Search-Generate-Modify. CoRR (2023)
Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury, Akash Lal, Madanlal Musuvathi, Aseem Rastogi, Aditya Senthilnathan, Rahul Sharma, Nikhil Swamy
Ranking LLM-Generated Loop Invariants for Program Verification. EMNLP (Findings) (2023)
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray
NatGen: Generative pre-training by "Naturalizing" source code. CoRR (2022)
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. ACL (1) (2022)
Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, Baishakhi Ray
CODIT: Code Editing With Tree-Based Neural Models. IEEE Trans. Software Eng. 48 (4) (2022)
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray
NatGen: generative pre-training by "naturalizing" source code. ESEC/SIGSOFT FSE (2022)
Saikat Chakraborty, Jaydeep P. Kulkarni
Buried-Channel Ferroelectric FET as Energy Efficient and Reliable 1T-NVM. DRC (2022)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. CoRR (2022)
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
Deep Learning Based Vulnerability Detection: Are We There Yet? IEEE Trans. Software Eng. 48 (9) (2022)
Saikat Chakraborty, Jaydeep P. Kulkarni
Cryo-TRAM: Gated Thyristor based Capacitor-less DRAM for Cryogenic Computing. DRC (2022)
Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang
AVATAR: A Parallel Corpus for Java-Python Program Translation. CoRR (2021)
Saikat Chakraborty, Baishakhi Ray
On Multi-Modal Learning of Editing Source Code. CoRR (2021)
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
Contrastive Learning for Source Code with Structural and Functional Properties. CoRR (2021)
Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Retrieval Augmented Code Generation and Summarization. CoRR (2021)
Saikat Chakraborty, Riktim Mondal, Pawan Kumar Singh, Ram Sarkar, Debotosh Bhattacharjee
Transfer learning with fine tuning for human action recognition from still images. Multim. Tools Appl. 80 (13) (2021)
Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Retrieval Augmented Code Generation and Summarization. EMNLP (Findings) (2021)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Unified Pre-training for Program Understanding and Generation. NAACL-HLT (2021)
Saikat Chakraborty, Shaili Jain, Anup Nandy, Gentiane Venture
Pathological Gait Detection Based on Multiple Regression Models Using Unobtrusive Sensing Technology. J. Signal Process. Syst. 93 (1) (2021)
Saikat Chakraborty, Baishakhi Ray
On Multi-Modal Learning of Editing Source Code. ASE (2021)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Unified Pre-training for Program Understanding and Generation. CoRR (2021)
Saikat Chakraborty, Noble Thomas, Anup Nandy
Gait Abnormality Detection in People with Cerebral Palsy Using an Uncertainty-Based State-Space Model. ICCS (4) (2020)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
A Transformer-based Approach for Source Code Summarization. CoRR (2020)
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
Deep Learning based Vulnerability Detection: Are We There Yet? CoRR (2020)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
A Transformer-based Approach for Source Code Summarization. ACL (2020)
Saikat Chakraborty
A Graph-based Ranking Approach to Extract Key-frames for Static Video Summarization. CoRR (2019)
Md. Masudur Rahman, Saikat Chakraborty, Gail E. Kaiser, Baishakhi Ray
Toward Optimal Selection of Information Retrieval Models for Software Engineering Tasks. SCAM (2019)
Md. Masudur Rahman, Saikat Chakraborty, Baishakhi Ray
Which similarity metric to use for software documents?: a study on information retrieval based software engineering tasks. ICSE (Companion Volume) (2018)
Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Building Language Models for Text with Named Entities. CoRR (2018)
Md. Masudur Rahman, Saikat Chakraborty, Gail E. Kaiser, Baishakhi Ray
A Case Study on the Impact of Similarity Measure on Information Retrieval based Software Engineering Tasks. CoRR (2018)
Saikat Chakraborty, Yujian Li, Matt Irvine, Ripon Saha, Baishakhi Ray
Entropy Guided Spectrum Based Bug Localization Using Statistical Language Model. CoRR (2018)
Saikat Chakraborty, Miltiadis Allamanis, Baishakhi Ray
Tree2Tree Neural Translation Model for Learning Source Code Changes. CoRR (2018)
Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Building Language Models for Text with Named Entities. ACL (1) (2018)
Abdus Salam Azad, Monirul Islam, Saikat Chakraborty
A Heuristic Initialized Stochastic Memetic Algorithm for MDPVRP With Interdependent Depot Operations. IEEE Trans. Cybern. 47 (12) (2017)
Kamal Sarkar, Saikat Chakraborty
A Sentiment Analysis System for Indian Language Tweets. MIKE (2015)
Tanmoy Sanyal, Saikat Chakraborty
Multiscale analysis of simultaneous uptake of two reactive gases in the human lungs and its application to methemoglobin anemia. Comput. Chem. Eng. 59 (2013)