作者位次 #6/10SIGIR 2026Oral· Information Retrieval (Full)
Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
Yuchen Yan · Peiyan Zhang · Zhihua Liu (Samsung R& · D institute China-Beijing) · D institute China-Beijing) · D institute China-Beijing) · D institute China-Beijing) · D institute China-Beijing) · D institute China-Beijing) · D institute China-Beijing)
摘要
Retrieval-augmented generation (RAG) has demonstrated its ability to enhance Large Language Models (LLMs) by integrating external knowledge sources. However, multi-hop questions, which require the identification of multiple knowledge targets to form a synthesized answer, raise new challenges for...