PEARL is a pedagogically aligned RL framework using a controllable student simulator, generative reward model, and stable multi-objective scheme to train Socratic tutors that outperform other open-source models on benchmarks.
arXiv preprint arXiv:2507.22947 , year=
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Introduces the TCR framework to evaluate educational LLM assistants on transparency, consistency, and refinement in multi-turn interactions, complementing aggregate metrics.
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PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning
PEARL is a pedagogically aligned RL framework using a controllable student simulator, generative reward model, and stable multi-objective scheme to train Socratic tutors that outperform other open-source models on benchmarks.
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Evaluating Multi-turn Human-AI Interaction
Introduces the TCR framework to evaluate educational LLM assistants on transparency, consistency, and refinement in multi-turn interactions, complementing aggregate metrics.