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News/Refining and Reusing Annotation Guidelines for LLM Annotation
arxiv
PublishedMay 21, 2026 at 4:00 AM
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Refining and Reusing Annotation Guidelines for LLM Annotation

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2605.20809v1 Announce Type: new Abstract: While Large Language Models (LLMs) demonstrate 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 guidelin

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Discussion
Mentioned models
03
  • 01
    GPT
  • 02
    Gemini
  • 03
    DeepSeek
Source
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arxiv
Read original ↗All from arxiv →
Tags
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#research#language models#benchmark

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Mentioned models
03
  • 01
    GPT
  • 02
    Gemini
  • 03
    DeepSeek
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#research#language models#benchmark

Related coverage

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