Saurabh Pujar

26 papers A* 5A 2Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study.
Trans. Mach. Learn. Res.
Razan Baltaji, Saurabh Pujar, Martin Hirzel, Louis Mandel, Luca Buratti, Lav R. Varshney
2025 J jnl
How Does LLM Reasoning Work for Code? A Survey and a Call to Action.
CoRR
Ira Ceka, Saurabh Pujar, Irene Manotas, Gail E. Kaiser, Baishakhi Ray, Shyam Ramji
2025 J jnl
SeaView: Software Engineering Agent Visual Interface for Enhanced Workflow.
CoRR
Timothy Bula, Saurabh Pujar, Luca Buratti, Mihaela A. Bornea, Avirup Sil
2025 J jnl
Understanding Software Engineering Agents Through the Lens of Traceability: An Empirical Study.
CoRR
Ira Ceka, Saurabh Pujar, Shyam Ramji, Luca Buratti, Gail E. Kaiser, Baishakhi Ray
2024 J jnl
Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT.
Empir. Softw. Eng.
Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Yunchung Chen, Jim Laredo, Alessandro Morari, Edward A. Epstein, Tsungnan Lin, Bo Yang, Zhong Su
2024 A* conf
Ansible Lightspeed: A Code Generation Service for IT Automation.
ASE
Priyam Sahoo, Saurabh Pujar, Ganesh Nalawade, Richard Genhardt, Louis Mandel, Luca Buratti
2024 J jnl
Ansible Lightspeed: A Code Generation Service for IT Automation.
CoRR
Priyam Sahoo, Saurabh Pujar, Ganesh Nalawade, Richard Gebhardt, Louis Mandel, Luca Buratti
2024 A* conf
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain.
ICLR
Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray
2024 A* conf
LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks.
SP
Saad Ullah, Mingji Han, Saurabh Pujar, Hammond Pearce, Ayse K. Coskun, Gianluca Stringhini
2023 J jnl
Automated Code generation for Information Technology Tasks in YAML through Large Language Models.
CoRR
Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri
2023 J jnl
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain.
CoRR
Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray
2023 A conf
CONCORD: Clone-Aware Contrastive Learning for Source Code.
ISSTA
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2023 J jnl
CONCORD: Clone-aware Contrastive Learning for Source Code.
CoRR
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2023 J jnl
Can Large Language Models Identify And Reason About Security Vulnerabilities? Not Yet.
CoRR
Saad Ullah, Mingji Han, Saurabh Pujar, Hammond Pearce, Ayse K. Coskun, Gianluca Stringhini
2023 A* conf
Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models.
DAC
Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri
2023 J jnl
Learning Transfers over Several Programming Languages.
CoRR
Razan Baltaji, Saurabh Pujar, Louis Mandel, Martin Hirzel, Luca Buratti, Lav R. Varshney
2022 — conf
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts.
ACL (1)
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
2022 A conf
Varangian: A Git Bot for Augmented Static Analysis.
MSR
Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Alessandro Morari, Jim Laredo, Kevin Postlethwait, Christoph Görn
2021 — conf
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.
NeurIPS Datasets and Benchmarks
Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, Frederick Reiss
2021 J jnl
Contrastive Learning for Source Code with Structural and Functional Properties.
CoRR
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
2021 — conf
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis.
ICSE (SEIP)
Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su
2021 J jnl
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis.
CoRR
Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su
2021 J jnl
Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.
CoRR
Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Ulrich Finkler
2020 J jnl
Exploring Software Naturalness through Neural Language Models.
CoRR
Luca Buratti, Saurabh Pujar, Mihaela A. Bornea, J. Scott McCarley, Yunhui Zheng, Gaetano Rossiello, Alessandro Morari, Jim Laredo, Veronika Thost, Yufan Zhuang, Giacomo Domeniconi
2020 A* conf
The TechQA Dataset.
ACL
Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, J. Scott McCarley, Mike McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John F. Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avirup Sil, Rosario Uceda-Sosa, Todd Ward, Rong Zhang
2019 J jnl
The TechQA Dataset.
CoRR
Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, J. Scott McCarley, Mike McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John F. Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avirup Sil, Rosario Uceda-Sosa, Todd Ward, Rong Zhang