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Tree Navigation Without LLM Summaries: A Matched-Cost Study of Hierarchical Retrieval for Long-Document QA
Author1, Author2, Author3, Author4, Author5
RAGhierarchical retrievallong-document QAnavigation
2610.06902
Builder Relevance
1h ago80%
Abstract
The paper presents NavTree, a hierarchical retrieval method that enhances long-document question answering by improving navigation through a balanced segment tree structure.
Reality Card
Core Claim
NavTree outperforms existing hierarchical and flat retrieval methods in long-document multi-hop QA while maintaining zero indexing cost.
Method / Result
NavTree is the strongest matched-cost hierarchical retriever in the evaluated grid and significantly beats BM25 on a class-vs-class basis.
Limitations
The method's performance may vary with different reader models and configurations, which could affect reproducibility.
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