LILO Framework Enables LLMs to Automatically Refactor Code and Generate Docs
burny_tech · x · 2026-08-03
Researchers including Josh Tenenbaum introduced LILO (Learning Interpretable Libraries), a neurosymbolic framework designed to tackle the code refactoring bottleneck in LLM-generated code.
LILO combines LLM-guided program synthesis with symbolic compression algorithms to automatically consolidate code into reusable, readable libraries. It also features an auto-documentation procedure that infers natural language names and docstrings from contextual usage examples. This not only improves human readability but also boosts the synthesizer's performance in interpreting and deploying learned abstractions. LILO outperforms existing methods like DreamCoder on inductive program synthesis benchmarks.
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