MARCH benchmark shows state-of-the-art models struggle on ambiguous multi-hop QA, and the proposed CLARION framework improves performance by decoupling ambiguity planning from evidence-driven reasoning.
A query with general ambiguity (over-specific) is narrowly constrained (dates, version numbers, quoted strings, etc.), likely missing the broader intent
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MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference
MARCH benchmark shows state-of-the-art models struggle on ambiguous multi-hop QA, and the proposed CLARION framework improves performance by decoupling ambiguity planning from evidence-driven reasoning.