Mixture of soft prompts for controllable data generation D Chen, C Lee, Y Lu, D Rosati, Z Yu arXiv preprint arXiv:2303.01580, 2023 | 20 | 2023 |
Toward code generation: A survey and lessons from semantic parsing C Lee, J Gottschlich, D Roth arXiv preprint arXiv:2105.03317, 2021 | 14 | 2021 |
The counterfeit conundrum: Can code language models grasp the nuances of their incorrect generations? A Gu, WD Li, N Jain, TX Olausson, C Lee, K Sen, A Solar-Lezama arXiv preprint arXiv:2402.19475, 2024 | 10 | 2024 |
Guess & sketch: Language model guided transpilation C Lee, A Mahmoud, M Kurek, S Campanoni, D Brooks, S Chong, GY Wei, ... arXiv preprint arXiv:2309.14396, 2023 | 9 | 2023 |
Zhou Yu D Chen, C Lee, YY Lu, D Rosati Mixture of soft prompts for controllable data generation. ArXiv, abs/2303.01580, 2023 | 6 | 2023 |
Methods and apparatus to automatically evolve a code recommendation engine J Gottschlich, N Hasabnis, P Petersen, S Zhou, C Lee US Patent 11,977,605, 2024 | 2 | 2024 |
Methods, apparatus, and articles of manufacture to generate command lists to be offloaded to accelerator circuitry C Lee, N Hasabnis, P Petersen, J Gottschlich, R Peri US Patent 12,001,382, 2024 | 1 | 2024 |
Methods and apparatus to train models for program synthesis TA Anderson, S Zhou, J Turek, C Lee, J Gottschlich US Patent App. 17/551,170, 2022 | 1 | 2022 |
A Survey on Semantic Parsing for Machine Programming C Lee, J Gottschlich, D Roth Workshop on Programming Language Processing (PLP) at the 27th ACM SIGKDD …, 2021 | 1 | 2021 |
Commit0: Library Generation from Scratch W Zhao, N Jiang, C Lee, JT Chiu, C Cardie, M Gallé, AM Rush arXiv preprint arXiv:2412.01769, 2024 | | 2024 |
Methods and apparatus to improve data quality for artificial intelligence N Hasabnis, J Gottschlich, C Lee, ET Bitim, S Zhou US Patent 12,032,541, 2024 | | 2024 |
Methods and apparatus to determine refined context for software bug detection and correction S Zhou, J Gottschlich, F Ye, C Lee, JJ Tithi US Patent 11,782,813, 2023 | | 2023 |
MP-CodeCheck: Evolving Logical Expression Code Anomaly Learning with Iterative Self-Supervision UC Muff, C Lee, P Gottschlich, J Gottschlich arXiv preprint arXiv:2204.07225, 2022 | | 2022 |
A Codespace Autoencoder for Language Tasks C Lee, MA Sultan, T Naseem, AM Rush, RF Astudillo | | |
Sampling Language from Latent System 2 Reasoning C Lee, MA Sultan, T Naseem, AM Rush, RF Astudillo The First Workshop on System-2 Reasoning at Scale, NeurIPS'24, 0 | | |