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Learning Evidence Sufficiency Boundaries for Selective Answering in Grounded Multi-Hop QA
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multi-hop QAevidence sufficiencyselective answering
2609.01687
Builder Relevance
2h ago80%
Abstract
The paper discusses a method for selective answering in multi-hop question answering systems by establishing evidence sufficiency boundaries.
Reality Card
Core Claim
Evidence Sufficiency Boundary Training improves boundary localization and reduces unsupported-answer rates in grounded multi-hop QA systems.
Method / Result
Achieved a flip accuracy of 0.807 compared to 0.781 for a token-level abstention baseline.
Limitations
The paper does not specify potential limitations or reproducibility concerns.
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