AI RESEARCH

SentGraph: Hierarchical Sentence Graph for Multi-hop Retrieval-Augmented Question Answering

arXiv CS.AI

ArXi:2601.03014v2 Announce Type: replace-cross Traditional Retrieval-Augmented Generation (RAG) effectively s single-hop question answering with large language models but faces significant limitations in multi-hop question answering tasks, which require combining evidence from multiple documents. Existing chunk-based retrieval often provides irrelevant and logically incoherent context, leading to incomplete evidence chains and incorrect reasoning during answer generation.