Search Results for author: Shuvendu Lahiri

Found 2 papers, 1 papers with code

Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming

no code implementations3 May 2024 Saikat Chakraborty, Gabriel Ebner, Siddharth Bhat, Sarah Fakhoury, Sakina Fatima, Shuvendu Lahiri, Nikhil Swamy

Grounded in this dataset, we investigate the use of AI to synthesize programs and their proofs in F*, with promising results.

Program Merge Conflict Resolution via Neural Transformers

1 code implementation31 Aug 2021 Alexey Svyatkovskiy, Sarah Fakhoury, Negar Ghorbani, Todd Mytkowicz, Elizabeth Dinella, Christian Bird, Jinu Jang, Neel Sundaresan, Shuvendu Lahiri

Our model achieves 63-68% accuracy for merge resolution synthesis, yielding nearly a 3x performance improvement over existing semi-structured, and 2x improvement over neural program merge tools.

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