A two-stage SFT plus DPO pipeline on synthetic pedagogical data improves factual accuracy and tutoring quality in LLM math tutors over base and prior models.
Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, and Douwe Kiela
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
SocialCoach combines multi-agent corpus construction, RL-optimized adaptive scheduling in simulation, and immersive LLM tutoring to deliver personalized social-skill training, reporting gains in simulated pathway quality and judge-rated tutoring quality.
citing papers explorer
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Towards Pedagogically Aligned LLM Tutors for Math Mistake Remediation
A two-stage SFT plus DPO pipeline on synthetic pedagogical data improves factual accuracy and tutoring quality in LLM math tutors over base and prior models.
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SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice
SocialCoach combines multi-agent corpus construction, RL-optimized adaptive scheduling in simulation, and immersive LLM tutoring to deliver personalized social-skill training, reporting gains in simulated pathway quality and judge-rated tutoring quality.