| Codenet: A large-scale ai for code dataset for learning a diversity of coding tasks R Puri, DS Kung, G Janssen, W Zhang, G Domeniconi, V Zolotov, J Dolby, ... arXiv preprint arXiv:2105.12655, 2021 | 460 | 2021 |
| D2a: A dataset built for ai-based vulnerability detection methods using differential analysis Y Zheng, S Pujar, B Lewis, L Buratti, E Epstein, B Yang, J Laredo, ... 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 221 | 2021 |
| Exploring Software Naturalness through Neural Language Models L Buratti, S Pujar, M Bornea, S McCarley, Y Zheng, G Rossiello, A Morari, ... arXiv preprint arXiv:2006.12641, 2020 | 128 | 2020 |
| Automated code generation for information technology tasks in yaml through large language models S Pujar, L Buratti, X Guo, N Dupuis, B Lewis, S Suneja, A Sood, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-4, 2023 | 79 | 2023 |
| Towards Learning (Dis)-Similarity of Source Code from Program Contrasts Y Ding, L Buratti, S Pujar, A Morari, B Ray, S Chakraborty Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 66* | 2022 |
| Beyond accuracy: Evaluating self-consistency of code llms MJ Min, Y Ding, L Buratti, S Pujar, G Kaiser, S Jana, B Ray The Twelfth International Conference on Learning Representations, 2023 | 38* | 2023 |
| Qiskit code assistant: Training llms for generating quantum computing code N Dupuis, L Buratti, S Vishwakarma, AV Forrat, D Kremer, I Faro, R Puri, ... 2024 IEEE LLM Aided Design Workshop (LAD), 1-4, 2024 | 28 | 2024 |
| Concord: Clone-aware contrastive learning for source code Y Ding, S Chakraborty, L Buratti, S Pujar, A Morari, G Kaiser, B Ray Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 18 | 2023 |
| Qiskit humaneval: An evaluation benchmark for quantum code generative models S Vishwakarma, F Harkins, S Golecha, VS Bajpe, N Dupuis, L Buratti, ... 2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024 | 16 | 2024 |
| Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT S Pujar, Y Zheng, L Buratti, B Lewis, Y Chen, J Laredo, A Morari, ... Empirical Software Engineering 29 (2), 48, 2024 | 14 | 2024 |
| Vulnerability analysis using contextual embeddings S Pujar, L Buratti, A Morari, JA Laredo, AM Gliozzo, G Rossiello US Patent App. 16/917,962, 2022 | 10 | 2022 |
| Ansible lightspeed: A code generation service for it automation P Sahoo, S Pujar, G Nalawade, R Genhardt, L Mandel, L Buratti Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | 9 | 2024 |
| Building pre-trained contextual embeddings for programming languages using specialized vocabulary S Pujar, L Buratti, A Morari, JA Laredo, AM Gliozzo, G Rossiello US Patent 11,429,352, 2022 | 9 | 2022 |
| Learning transfers over several programming languages R Baltaji, S Pujar, L Mandel, M Hirzel, L Buratti, L Varshney arXiv preprint arXiv:2310.16937, 2023 | 8 | 2023 |
| On Adam trained models and a parallel method to improve the generalization performance G Cong, L Buratti 2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC), 85-94, 2018 | 8 | 2018 |
| SeaView: Software engineering agent visual interface for enhanced workflow T Bula, S Pujar, L Buratti, M Bornea, A Sil arXiv preprint arXiv:2504.08696, 2025 | 6 | 2025 |
| Understanding Software Engineering Agents Through the Lens of Traceability: An Empirical Study I Ceka, S Pujar, S Ramji, L Buratti, G Kaiser, B Ray arXiv preprint arXiv:2506.08311, 2025 | 4 | 2025 |
| Varangian: a git bot for augmented static analysis S Pujar, Y Zheng, L Buratti, B Lewis, A Morari, J Laredo, K Postlethwait, ... Proceedings of the 19th International Conference on Mining Software …, 2022 | 3 | 2022 |
| Contextual embeddings for improving static analyzer output S Pujar, L Buratti, A Morari, JA Laredo, MA BORNEA, JS McCarley, ... US Patent 11,765,193, 2023 | 2 | 2023 |
| Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study R Baltaji, S Pujar, M Hirzel, L Mandel, L Buratti, LR Varshney Transactions on Machine Learning Research, 0 | 1 | |
