Visible Reasoning Is Not a Universal Optimizer: Persona- and Thinking-Dependent Effects in Analytics Code Generation
Read the original on arXiv AI →The paper investigates whether visible chain-of-thought (CoT) reasoning universally improves analytics code generation across different target languages (SQL vs. Python pandas). Using a benchmark that varies persona phrasing, target language, CoT format, and model settings, the authors find no consistent advantage from visible CoT or from matching the reasoning representation to the target language. Instead, the impact of visible reasoning depends on the persona, target, model configuration, and internal-reasoning setting, suggesting that reasoning strategies must be tailored rather than applied as a universal default.
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