Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs

Ziliang Wang, Kang An, Xuhui Zheng +6

While search-augmented large language models (LLMs) exhibit impressive capabilities, their reliability in complex multi-hop reasoning remains limited. This limitation arises from t…