Analyzing Chain-of-Thought for Code Generation: Empirical and Information-Theoretic Insights

This ArXiv paper provides a valuable contribution to the understanding of Chain-of-Thought (CoT) prompting in the context of code generation. The empirical and information-theoretic approaches offer a more rigorous evaluation of CoT's effectiveness, potentially leading to more efficient and reliable code generation methods.

• •Focuses on CoT prompting, a key technique for improving LLM performance in coding tasks.
• •Employs empirical analysis to assess real-world code generation performance.
• •Utilizes information-theoretic analysis for deeper insights into CoT's workings.