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 | 165 | 2023 |
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 | 31 | 2024 |
Cryptographic hardness under projections for time-bounded Kolmogorov complexity E Allender, J Gouwar, S Hirahara, C Robelle Theoretical computer science 940, 206-224, 2023 | 15 | 2023 |
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 | 13 | 2019 |
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 | 2 | 2019 |
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 |