AI RESEARCH
Refining and Reusing Annotation Guidelines for LLM Annotation
arXiv CS.CL
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ArXi:2605.20809v1 Announce Type: new While Large Language Models (LLMs) nstrate remarkable performance on zero-shot annotation tasks, they often struggle with the specialized conventions of gold-standard benchmarks. We propose the systematic reuse and refinement of annotation guidelines as an alignment mechanism,