REAT: A Reflective Experience-Augmented Tutoring Framework for Multi-turn Mathematical Instruction
The proposed REAT framework couples experience distillation from historical dialogues with real-time adaptive retrieval, which significantly outperforms both prompt-only and supervised fine-tuning (SFT) baselines, particularly in improving complex, low-scoring tutoring scenarios.