2 papers
cs.CL2025
Retrieval Augmented Question Answering: When Should LLMs Admit Ignorance?
Dingmin Wang, Ji Ma, Shankar Kumar
The success of expanded context windows in Large Language Models (LLMs) has driven increased use of broader context in retrieval-augmented generation. We investigate the use of LLM…
cs.IR2025
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
Zhongwu Chen, Chengjin Xu, Dingmin Wang +4
Retrieval-augmented generation (RAG) has shown promising potential in knowledge intensive question answering (QA). However, existing approaches only consider the query itself, neit…