Teaching a Large Language Model Tutor to Withhold the Answer: A Supervisor Architecture and an Evidence-Driven Method for Tuning Socratic Behavior
arXiv:2608.12292v1 Announce Type: new Abstract: An effective large language model (LLM) tutor must often decline to give an answer it could easily produce. In a randomized study, students who used an unguarded chatbot scored higher while practicing but lower on a later test taken without it, whereas a Socratically guarded version of the same model kept the practice gain and removed the later loss [4]. Reliable answer-withholding is therefore central to a tutor's value, yet a capable model presse
Record details
Published: 13 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Children & education
Retrieved: 13 August 2026
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ethics.ai (13 August 2026), “Teaching a Large Language Model Tutor to Withhold the Answer: A Supervisor Architecture and an Evidence-Driven Method for Tuning Socratic Behavior,” evidence record 18722, https://ethics.ai/record/18722 (originally published by arXiv cs.CY).
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