Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support
In multi-hop RAG evaluation, a top-k answer score can hide two different failures: the retrieval window may drop part of the support chain, or it may contain support in a form the adapted reader does not use well. We call this reader-facing form of retrieved evidence an evidence interface. Using three support-annotated multi-hop QA benchmarks, we compare matched adapted readers trained with raw context, retrieval windows, and gold-support diagnostic renderings. These comparisons distinguish support-availability failures from remaining reader-interface effects. Top-k windows become interpretable only after checking whether the complete annotated support chain survives: when it does, short ...
| Authors | Junchi Liao, Jiawen Deng, Fuji Ren |
|---|---|
| Primary category | cs.AI |
| Published | 19 July 2026 |
| Last updated at source | 19 July 2026 |
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