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John Gouwar
John Gouwar
CS PhD. Student, Northeastern University
Verified email at husky.neu.edu - Homepage
Title
Cited by
Cited by
Year
MultiPL-E: a scalable and polyglot approach to benchmarking neural code generation
F Cassano, J Gouwar, D Nguyen, S Nguyen, L Phipps-Costin, D Pinckney, ...
IEEE Transactions on Software Engineering 49 (7), 3675-3691, 2023
1652023
Multipl-e: A scalable and extensible approach to benchmarking neural code generation
F Cassano, J Gouwar, D Nguyen, S Nguyen, L Phipps-Costin, D Pinckney, ...
arXiv preprint arXiv:2208.08227, 2022
83*2022
Knowledge transfer from high-resource to low-resource programming languages for code llms
F Cassano, J Gouwar, F Lucchetti, C Schlesinger, A Freeman, ...
Proceedings of the ACM on Programming Languages 8 (OOPSLA2), 677-708, 2024
312024
Cryptographic hardness under projections for time-bounded Kolmogorov complexity
E Allender, J Gouwar, S Hirahara, C Robelle
Theoretical computer science 940, 206-224, 2023
152023
Deformable part models for automatically georeferencing historical map images
NR Howe, J Weinman, J Gouwar, A Shamji
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019
132019
MultiPL-E: a scalable and extensible approach to benchmarking neural code generation (2022)
F Cassano, J Gouwar, D Nguyen, S Nguyen, L Phipps-Costin, D Pinckney, ...
URL https://arxiv. org/abs/2208.08227, 0
5
Details of deformable part models for automatically georeferencing historical map images
N Howe, J Weinman, J Gouwar, A Shamji
22019
Scaling Optimization Over Uncertainty via Compilation
M Cho, J Gouwar, S Holtzen
arXiv preprint arXiv:2502.18728, 2025
2025
Scaling Probabilistic Programming with First-Class Marginal-MAP
J Gouwar, S Holtzen
2023
Georeferenced Control Points for Historical Maps
A Shamji, J Gouwar, J Weinman
2019
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Articles 1–10