When Does Better Confidence Improve a Knowledge-Graph Audit?
arXiv:2611.05877v1 Announce Type: new Abstract: Confidence estimates guide human review in LLM-built knowledge graphs, but better error prediction can yield little improvement in an audit. We study this gap through repairability, selection headroom and label validity. Modelling non-adaptive auditing
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Quelle: arXiv cs.CL (arXiv cs.CL). Original öffnen