SPIN Unprocessed October 22, 2026 ai_technology research
A Large-Scale Evaluation of Role-Enhanced Zero-Shot Chain-of-Thought Prompting
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arXiv:2610.29073v1 Announce Type: new Abstract: This paper proposes Role-Enhanced Zero-Shot Chain-of-Thought (RE-ZS-CoT), a prompting framework that systematically integrates domain-specific expert roles to enhance reasoning in large language models (LLMs) without task-specific examples. We assess two versions of our approach. In the first version, static role selection, we evaluate eight predefined expert roles across arithmetic, commonsense, and reading comprehension benchmarks to determine th
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