Papers/2609.01687
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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
80%
2h ago

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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