Where to Look and What to Use: Retrieve-Localize-Generate for Long-Term Conversational Memory Question Answering
Retrieval-augmented generation (RAG) enables large language models (LLMs) to answer questions by accessing external knowledge and has been widely adopted for long-term conversational memory question answering. However, existing methods suffer from two key challenges: (1) fragmented evidence scattered across temporally...
Yi-Fan Wang, Xin-Kui Lin, Yong-Xiu Xu et al.
· 0 citations