| 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 | 305 | 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 | 163 | 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 | 123 | 2020 |
| Towards Learning (Dis)-Similarity of Source Code from Program Contrasts Y Ding, L Buratti, S Pujar, A Morari, B Ray, S Chakraborty arXiv preprint arXiv:2110.03868, 2021 | 60* | 2021 |
| LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks S Ullah, M Han, S Pujar, H Pearce, A Coskun, G Stringhini IEEE Symposium on Security and Privacy, 2024 | 50 | 2024 |
| The techqa dataset V Castelli, R Chakravarti, S Dana, A Ferritto, R Florian, M Franz, D Garg, ... arXiv preprint arXiv:1911.02984, 2019 | 44* | 2019 |
| Beyond accuracy: Evaluating self-consistency of code large language models with identitychain MJ Min, Y Ding, L Buratti, S Pujar, G Kaiser, S Jana, B Ray arXiv preprint arXiv:2310.14053, 2023 | 23* | 2023 |
| 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 | 16* | 2023 |
| 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 | 9 | 2023 |
| Learning Transfers over Several Programming Languages R Baltaji, S Pujar, L Mandel, M Hirzel, L Buratti, L Varshney arXiv preprint arXiv:2310.16937, 2023 | 6 | 2023 |
| 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 | 6 | 2022 |
| Vulnerability analysis using contextual embeddings S Pujar, L Buratti, A Morari, JA Laredo, AM Gliozzo, G Rossiello US Patent App. 16/917,962, 2022 | 6 | 2022 |
| 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 | 5 | 2024 |
| System and method to share and utilize healthcare data A Malvankar, S Pujar, EA Epstein, L Degenaro, B Lewis US Patent 11,250,937, 2022 | 3 | 2022 |
| Ansible Lightspeed: A Code Generation Service for IT Automation P Sahoo, S Pujar, G Nalawade, R Gebhardt, L Mandel, L Buratti ASE '24: Proceedings of the 39th IEEE/ACM International Conference on …, 2024 | 2 | 2024 |
| 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 | 2 | 2022 |
| Contextual embeddings for improving static analyzer output S Pujar, L Buratti, A Morari, JA Laredo, MA Bornea, JS McCarley, Y Zheng US Patent 11,765,193, 2023 | 1 | 2023 |
| Distributed QA System S Pujar, B Priyaa, K Sethia Research Report, New York University, USA, 2015 | 1 | 2015 |
Luca BurattiResearch Software EngineerVerified email at ibm.com