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Shraddha Barke
Shraddha Barke
Senior Researcher, Microsoft Research
Email verificata su microsoft.com - Home page
Titolo
Citata da
Citata da
Anno
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
3372023
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
542020
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
302020
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
232021
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
162019
Grounded copilot: How programmers interact with code-generating models.(2022)
S Barke, MB James, N Polikarpova
CoRR arXiv 2206, 2022
112022
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
S Barke, EA Gonzalez, SR Kasibatla, T Berg-Kirkpatrick, N Polikarpova
arXiv preprint arXiv:2405.15880, 2024
62024
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
32018
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
22024
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
22022
Model Capability Extraction
BG Zorn, CS Negreanu, NB Toronto, BP Slininger, AD Gordon, A Sarkar, ...
US Patent App. 17/969,922, 2024
2024
Neuro-Symbolic Program Synthesis for Data-Efficient Learning
SG Barke
University of California, San Diego, 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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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