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cs.CL2026
RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
Aswini Sivakumar, Vijayan Sugumaran, Yao Qiang
Automated question-answering (QA) systems increasingly rely on retrieval-augmented generation (RAG) to ground large language models (LLMs) in authoritative medical knowledge, ensur…
cs.CL2024
Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19
Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang +4
Large language models (LLMs) have shown remarkable capabilities in various natural language tasks and are increasingly being applied in healthcare domains. This work demonstrates a…