SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs

arXiv:2404.13081v1 Announce Type: cross
Abstract: Large language models (LLMs) have made significant advancements in various natural language processing tasks, including question answering (QA) tasks. While incorporating new information with the retrieval of relevant passages is a promising way to improve QA with LLMs, the existing methods often require additional fine-tuning which becomes infeasible with recent LLMs. Augmenting retrieved passages via prompting has the potential to address this limitation, but this direction has been limitedly explored. To this end, we design …

abstract arxiv cs.ai cs.cl cs.lg domain information language language models language processing large language large language models llms natural natural language natural language processing processing question question answering retrieval summarizing tasks type