The TechQA Dataset. - 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 003; et al. (ACL, 2020)

Exploring Software Naturalness through Neural Language Models. - Luca Buratti; Saurabh Pujar; Mihaela A. Bornea; J. Scott McCarley; Yunhui Zheng; Gaetano Rossiello; Alessandro Morari; Jim Laredo; Veronika Thost; Yufan Zhuang; Giacomo Domeniconi (CoRR, 2020)

D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. - Yunhui Zheng; Saurabh Pujar; Burn L. Lewis; Luca Buratti; Edward A. Epstein; Bo Yang 013; Jim Laredo; Alessandro Morari; Zhong Su (ICSE (SEIP), 2021)

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. - Ruchir Puri; David S. Kung 001; Geert Janssen; Wei Zhang 022; Giacomo Domeniconi; Vladimir Zolotov; Julian Dolby; Jie Chen 007; Mihir R. Choudhury; Lindsey Decker; Veronika Thost; Luca Buratti; et al. (NeurIPS Datasets and Benchmarks, 2021)

Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. - Ruchir Puri; David S. Kung 001; Geert Janssen; Wei Zhang 022; Giacomo Domeniconi; Vladimir Zolotov; Julian Dolby; Jie Chen 007; Mihir R. Choudhury; Lindsey Decker; Veronika Thost; Luca Buratti; et al. (CoRR, 2021)

Contrastive Learning for Source Code with Structural and Functional Properties. - Yangruibo Ding; Luca Buratti; Saurabh Pujar; Alessandro Morari; Baishakhi Ray; Saikat Chakraborty (CoRR, 2021)

Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. - Yangruibo Ding; Luca Buratti; Saurabh Pujar; Alessandro Morari; Baishakhi Ray; Saikat Chakraborty (ACL (1), 2022)

Varangian: A Git Bot for Augmented Static Analysis. - Saurabh Pujar; Yunhui Zheng; Luca Buratti; Burn L. Lewis; Alessandro Morari; Jim Laredo; Kevin Postlethwait; Christoph Görn (MSR, 2022)

Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models. - Saurabh Pujar; Luca Buratti; Xiaojie Guo; Nicolas Dupuis; Burn L. Lewis; Sahil Suneja; Atin Sood; Ganesh Nalawade; Matthew Jones; Alessandro Morari; Ruchir Puri (DAC, 2023)

CONCORD: Clone-Aware Contrastive Learning for Source Code. - Yangruibo Ding; Saikat Chakraborty; Luca Buratti; Saurabh Pujar; Alessandro Morari; Gail E. Kaiser; Baishakhi Ray (ISSTA, 2023)

Automated Code generation for Information Technology Tasks in YAML through Large Language Models. - Saurabh Pujar; Luca Buratti; Xiaojie Guo; Nicolas Dupuis; Burn L. Lewis; Sahil Suneja; Atin Sood; Ganesh Nalawade; Matthew Jones; Alessandro Morari; Ruchir Puri (CoRR, 2023)

Learning Transfers over Several Programming Languages. - Razan Baltaji; Saurabh Pujar; Louis Mandel; Martin Hirzel; Luca Buratti; Lav R. Varshney (CoRR, 2023)

Can Large Language Models Identify And Reason About Security Vulnerabilities? Not Yet. - Saad Ullah; Mingji Han; Saurabh Pujar; Hammond Pearce; Ayse K. Coskun; Gianluca Stringhini (CoRR, 2023)

Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain. - Marcus J. Min; Yangruibo Ding; Luca Buratti; Saurabh Pujar; Gail E. Kaiser; Suman Jana; Baishakhi Ray (ICLR, 2024)

Ansible Lightspeed: A Code Generation Service for IT Automation. - Priyam Sahoo; Saurabh Pujar; Ganesh Nalawade; Richard Genhardt; Louis Mandel; Luca Buratti (ASE, 2024)

LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks. - Saad Ullah; Mingji Han; Saurabh Pujar; Hammond Pearce; Ayse K. Coskun; Gianluca Stringhini (SP, 2024)

Ansible Lightspeed: A Code Generation Service for IT Automation. - Priyam Sahoo; Saurabh Pujar; Ganesh Nalawade; Richard Gebhardt; Louis Mandel; Luca Buratti (CoRR, 2024)

Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT. - Saurabh Pujar; Yunhui Zheng; Luca Buratti; Burn L. Lewis; Yunchung Chen; Jim Laredo; Alessandro Morari; Edward A. Epstein; Tsungnan Lin; Bo Yang 013; Zhong Su (Empir. Softw. Eng., 2024)

Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study. - Razan Baltaji; Saurabh Pujar; Martin Hirzel; Louis Mandel; Luca Buratti; Lav R. Varshney (Trans. Mach. Learn. Res., 2025)

SeaView: Software Engineering Agent Visual Interface for Enhanced Workflow. - Timothy Bula; Saurabh Pujar; Luca Buratti; Mihaela A. Bornea; Avirup Sil (CoRR, 2025)

Understanding Software Engineering Agents Through the Lens of Traceability: An Empirical Study. - Ira Ceka; Saurabh Pujar; Shyam Ramji; Luca Buratti; Gail E. Kaiser; Baishakhi Ray (CoRR, 2025)

How Does LLM Reasoning Work for Code? A Survey and a Call to Action. - Ira Ceka; Saurabh Pujar; Irene Manotas; Gail E. Kaiser; Baishakhi Ray; Shyam Ramji (CoRR, 2025)