Experts rise where LLMs disagree; using cross-model disagreement to target expert effort in LLM codebook revision for large-scale annotation
Read the original at arxiv.org→arXiv:2609.26926v1 Announce Type: new Abstract: Large-scale text annotation brings expert insight to millions of documents, often through a codebook that AI annotators follow. Developing a robust codebook, however,...
Original headline: "Experts Rise Where LLMs Disagree: Using Cross-Model Disagreement to Target Expert Effort in LLM Codebook Revision for Large-Scale Annotation"
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- Sep 24, 04:00 UTC arXiv cs.CL lead source Experts Rise Where LLMs Disagree: Using Cross-Model Disagreement to Target Expert Effort in LLM Codebook Revision for Large-Scale Annotation