Chain-of-thought prompting, by including intermediate reasoning steps in few-shot examples, elicits strong reasoning abilities in large language models on arithmetic, commonsense, and symbolic tasks.
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Role-separated, phase-gated LLM scaffolding preserves parent-led math tutoring and children's reasoning better than generic LLM chat for 23 parent-child dyads.
citing papers explorer
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-thought prompting, by including intermediate reasoning steps in few-shot examples, elicits strong reasoning abilities in large language models on arithmetic, commonsense, and symbolic tasks.
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ParaTutor: Coordinating Parent and Child Math Tutoring through Role Separated LLM Scaffolding
Role-separated, phase-gated LLM scaffolding preserves parent-led math tutoring and children's reasoning better than generic LLM chat for 23 parent-child dyads.