Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering
Jueun Kim, Sungho Park, and Wook-Shin Han
arXiv preprint arXiv:2608.30468, 2026
A central bottleneck in multi-hop QA is that the granularity at which a question is expressed differs from the granularity at which corpus evidence is retrievable. We formulate this as retrievable granularity discovery and introduce Hi-Q, an evidence-conditioned framework for hierarchical query refinement that grows a query tree whose topology is determined by corpus support signals rather than by a fixed decomposition template or a pre-built graph.
