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Why Converting Graphs to Python Code Improves AI Reasoning
- The paper focuses on converting output graphs into semantically equivalent Python code.
- The COCOGEN approach transforms the output graph G into a program written in Python.
- The transformed Python code is used as training or few-shot examples for structured commonsense generation tasks.
- The method utilizes CODEX for generating syntactically valid Python code from prompts.
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