Shraddha Barke

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Nadia PolikarpovaUCSDVerified email at eng.ucsd.edu
Michael B JamesUniversity of California, San DiegoVerified email at ucsd.edu
Hila PelegTechnionVerified email at cs.technion.ac.il
Gustavo SoaresResearcher, MicrosoftVerified email at microsoft.com
Xiang GaoBeihang UniversityVerified email at buaa.edu.cn
Arjun RadhakrishnaMicrosoftVerified email at microsoft.com
Ashish TiwariComputer Scientist, SRI International; Researcher MicrosoftVerified email at csl.sri.com
Sumit GulwaniPartner Research Manager, MicrosoftVerified email at microsoft.com
Nachiappan NagappanFacebookVerified email at fb.com
Sorin LernerUC San DiegoVerified email at ucsd.edu
Eric BakovicProfessor of Linguistics, UC San DiegoVerified email at ucsd.edu
Eric MeinhardtPostdoctoral Researcher, UC San Diego LinguisticsVerified email at ucsd.edu
Leon BergenAssociate Professor, UCSDVerified email at ucsd.edu
Annette BieniusaUniversity of Kaiserslautern-Landau (RPTU)Verified email at cs.uni-kl.de
Peter ZellerTU Kaiserslautern, AG SoftwaretechnikVerified email at cs.uni-kl.de
Benjamin ZornMicrosoft Research, RedmondVerified email at acm.org
Andrew D GordonMicrosoft Research and University of EdinburghVerified email at microsoft.com
Carina NegreanuMicrosoft ResearchVerified email at microsoft.com
Elnaz NouriMicrosoft ResearchVerified email at usc.edu
Christian PoelitzTu Dortmund UniversityVerified email at tu-dortmund.de

Shraddha Barke

University of California, San Diego

Verified email at ucsd.edu - Homepage

Programming Languages Artificial Intelligence Human Computer Interaction


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Grounded copilot: How programmers interact with code-generating models S Barke, MB James, N Polikarpova Proceedings of the ACM on Programming Languages 7 (OOPSLA1), 85-111, 2023	163	2023
Just-in-time learning for bottom-up enumerative synthesis S Barke, H Peleg, N Polikarpova Proceedings of the ACM on Programming Languages 4 (OOPSLA), 1-29, 2020	36	2020
Feedback-driven semi-supervised synthesis of program transformations X Gao, S Barke, A Radhakrishna, G Soares, S Gulwani, A Leung, ... Proceedings of the ACM on Programming Languages 4 (OOPSLA), 1-30, 2020	26	2020
LooPy: interactive program synthesis with control structures K Ferdowsifard, S Barke, H Peleg, S Lerner, N Polikarpova Proceedings of the ACM on Programming Languages 5 (OOPSLA), 1-29, 2021	18	2021
Constraint-based learning of phonological processes S Barke, R Kunkel, N Polikarpova, E Meinhardt, E Baković, L Bergen Proceedings of the 2019 conference on empirical methods in natural language …, 2019	11	2019
Grounded copilot: How programmers interact with code-generating models.(2022) S Barke, MB James, N Polikarpova CoRR arXiv 2206, 2022	7	2022
Feedback-driven semi-supervised synthesis of program transformations SG Barke, X Gao, S Gulwani, AT Leung, N Nagappan, A Radhakrishna, ... US Patent 11,513,773, 2022	2	2022
Collaborative work management with a highly-available Kanban board A Bieniusa, P Zeller, S Barke Principled Software Development: Essays Dedicated to Arnd Poetzsch-Heffter …, 2018	2	2018
Model Capability Extraction BG Zorn, CS Negreanu, NB Toronto, BP Slininger, AD Gordon, A Sarkar, ... US Patent App. 17/969,922, 2024		2024
Solving Data-centric Tasks using Large Language Models S Barke, C Poelitz, CS Negreanu, B Zorn, J Cambronero, AD Gordon, ... arXiv preprint arXiv:2402.11734, 2024		2024
Targeted Synthesis for Programming with Data Invariants J Sarracino, S Barke, H Peleg, S Lerner, N Polikarpova arXiv preprint arXiv:1904.13049, 2019		2019

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