Saurabh Pujar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Information Technology

Top Venues

Publications

Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain. ICLR (2024)
Priyam Sahoo, Saurabh Pujar, Ganesh Nalawade, Richard Gebhardt, Louis Mandel, Luca Buratti
Ansible Lightspeed: A Code Generation Service for IT Automation. CoRR (2024)
Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Yunchung Chen, Jim Laredo, Alessandro Morari, Edward A. Epstein, Tsungnan Lin, Bo Yang, Zhong Su
Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT. Empir. Softw. Eng. 29 (2) (2024)
Saad Ullah, Mingji Han, Saurabh Pujar, Hammond Pearce, Ayse K. Coskun, Gianluca Stringhini
Can Large Language Models Identify And Reason About Security Vulnerabilities? Not Yet. CoRR (2023)
Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri
Automated Code generation for Information Technology Tasks in YAML through Large Language Models. CoRR (2023)
Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain. CoRR (2023)
Razan Baltaji, Saurabh Pujar, Louis Mandel, Martin Hirzel, Luca Buratti, Lav R. Varshney
Learning Transfers over Several Programming Languages. 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)
Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri
Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models. DAC (2023)
Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Alessandro Morari, Jim Laredo, Kevin Postlethwait, Christoph Görn
Varangian: A Git Bot for Augmented Static Analysis. MSR (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)
Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. 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)
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
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. NeurIPS Datasets and Benchmarks (2021)
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
Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. CoRR (2021)
Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. ICSE (SEIP) (2021)
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
The TechQA Dataset. ACL (2020)
Luca Buratti, Saurabh Pujar, Mihaela A. Bornea, J. Scott McCarley, Yunhui Zheng, Gaetano Rossiello, Alessandro Morari, Jim Laredo, Veronika Thost, Yufan Zhuang, Giacomo Domeniconi
Exploring Software Naturalness through Neural Language Models. CoRR (2020)
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
The TechQA Dataset. CoRR (2019)