LLM judge validation with sparse overlap shows that low pairwise overlap drives wrong deployment decisions; increasing overlap quantity and quality are key levers.
Read the original at arxiv.org→arXiv:2609.31857v1 Announce Type: new Abstract: Validating an LLM-as-a-judge requires estimating its agreement with humans, yet annotation budgets rarely allow every item to be multiply labeled. We prove that this...
Original headline: "LLM Judge Validation Under Sparse Overlap: From Inference to Design"
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- Sep 29, 04:00 UTC arXiv cs.AI lead source LLM Judge Validation Under Sparse Overlap: From Inference to Design