Discovering Abstractions from Language via Neurosymbolic Program Synthesis
Large language models (LLMs) are growing highly adept at language-guided program synthesis: translating natural language specifications into code to solve programming tasks. Nevertheless, current approaches require searching through a vast space of strings, often needing thousands of guesses to disc...
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Format: | Thesis |
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Massachusetts Institute of Technology
2023
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Online Access: | https://hdl.handle.net/1721.1/151322 |