Self-Assessment Reinforcement Learning for Search-State Awareness in Retrieval-Augmented Large Language Models
Self-Assessment Reinforcement Learning (SARL), a reinforcement learning framework in which models learn to recognize their own search state during training and improve their search behavior accordingly, without requiring additional assessment at test time, outperforms methods built on auxiliary supervision or multi-age...
Taewhoo Lee, Min-Ju Song, Jungwoo Park et al.
· 0 citations