MIT Researchers Introduce LILO: A Neuro-Symbolic Framework for Learning Interpretable Libraries for Program Synthesis

Big language models (LLMs) are becoming increasingly skilled in programming in various contexts, such as finishing partly written code, interacting with human programmers, and even figuring out challenging programming riddles at the competition level. Software developers, however, are more interested in creating libraries that may be used to solve whole problem domains than they are […]

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