CRABS combines AST bounds with an LLM to reconstruct information flow and execution dependency graphs for Python notebooks, reaching 98% F1 on 50 curated Kaggle notebooks.
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CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks
CRABS combines AST bounds with an LLM to reconstruct information flow and execution dependency graphs for Python notebooks, reaching 98% F1 on 50 curated Kaggle notebooks.