2 papers
cs.CL2025
Harnessing RLHF for Robust Unanswerability Recognition and Trustworthy Response Generation in LLMs
Shuyuan Lin, Lei Duan, Philip Hughes +1
Conversational Information Retrieval (CIR) systems, while offering intuitive access to information, face a significant challenge: reliably handling unanswerable questions to preven…
cs.CL2025
Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs
Chang Liu, Ying Chang, Jianmin Li +4
Objectives: Large language models (LLMs) can harness medical knowledge for intelligent question answering (Q&A), promising support for auxiliary diagnosis and medical talent cultiv…