AI RESEARCH
DTCRS: Dynamic Tree Construction for Recursive Summarization
arXiv CS.CL
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ArXi:2604.07012v1 Announce Type: new Retrieval-Augmented Generation (RAG) mitigates the hallucination problem of Large Language Models (LLMs) by incorporating external knowledge. Recursive summarization constructs a hierarchical summary tree by clustering text chunks, integrating information from multiple parts of a document to provide evidence for abstractive questions involving multi-step reasoning. However, summary trees often contain a large number of redundant summary nodes, which not only increase construction time but may also negatively impact question answering.