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ORCIDLuca Buratti
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2020 – today
- 2024
[j1]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): 48 (2024)- [c7]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 - [i11]Priyam Sahoo, Saurabh Pujar, Ganesh Nalawade, Richard Gebhardt, Louis Mandel, Luca Buratti:
Ansible Lightspeed: A Code Generation Service for IT Automation. CoRR abs/2402.17442 (2024) - [i10]Nicolas Dupuis, Luca Buratti, Sanjay Vishwakarma, Aitana Viudes Forrat, David Kremer, Ismael Faro, Ruchir Puri, Juan Cruz-Benito:
Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code. CoRR abs/2405.19495 (2024) - [i9]Sanjay Vishwakarma, Francis Harkins, Siddharth Golecha, Vishal Sharathchandra Bajpe, Nicolas Dupuis, Luca Buratti, David Kremer, Ismael Faro, Ruchir Puri, Juan Cruz-Benito:
Qiskit HumanEval: An Evaluation Benchmark For Quantum Code Generative Models. CoRR abs/2406.14712 (2024) - 2023
- [c6]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: 1-4 - [c5]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: 26-38 - [i8]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 abs/2305.02783 (2023) - [i7]Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray:
CONCORD: Clone-aware Contrastive Learning for Source Code. CoRR abs/2306.03234 (2023) - [i6]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 abs/2310.14053 (2023) - [i5]Razan Baltaji, Saurabh Pujar, Louis Mandel, Martin Hirzel, Luca Buratti, Lav R. Varshney:
Learning Transfers over Several Programming Languages. CoRR abs/2310.16937 (2023) - 2022
- [c4]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: 6300-6312 - [c3]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: 766-767 - 2021
- [c2]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: 111-120 - [c1]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 - [i4]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 abs/2102.07995 (2021) - [i3]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 abs/2105.12655 (2021) - [i2]Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty:
Contrastive Learning for Source Code with Structural and Functional Properties. CoRR abs/2110.03868 (2021) - 2020
- [i1]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 abs/2006.12641 (2020)
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