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MEGAnno+: A Human-LLM Collaborative Annotation System

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arxiv 2402.18050 v1 pith:QOPERF6E submitted 2024-02-28 cs.CL cs.HC

MEGAnno+: A Human-LLM Collaborative Annotation System

classification cs.CL cs.HC
keywords annotationcollaborativehumansllmshuman-llmlabelsmegannosystem
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Large language models (LLMs) can label data faster and cheaper than humans for various NLP tasks. Despite their prowess, LLMs may fall short in understanding of complex, sociocultural, or domain-specific context, potentially leading to incorrect annotations. Therefore, we advocate a collaborative approach where humans and LLMs work together to produce reliable and high-quality labels. We present MEGAnno+, a human-LLM collaborative annotation system that offers effective LLM agent and annotation management, convenient and robust LLM annotation, and exploratory verification of LLM labels by humans.

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