retrieval-augmented-learning

ESCRAG-R1 is a unified framework that integrates retrieval-based psychological guidance into Group Relative Policy Optimization to enhance emotional support conversations, mitigating superficial splicing and achieving natural integration of professional guidance and empathy.

The paper proposes P2E-VQ, a retrieval-augmented framework that enhances PPG representations by retrieving ECG-linked information via discrete patch retrieval, improving downstream tasks without requiring ECG during inference.