Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection explores LLM-generated annotations achieve comparable F1-Macro to human annotations for hostility detection at a fraction of the cost, with nuanced error profiles.. Commercial viability score: 7/10 in LLM Annotation for Active Learning.
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Page Freshness
Canonical route: /paper/do-we-still-need-humans-in-the-loop-comparing-human-and-llm-annotation-in-active-learning-for-hostility-detection
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Agent Handoff
Canonical ID do-we-still-need-humans-in-the-loop-comparing-human-and-llm-annotation-in-active-learning-for-hostility-detection | Route /paper/do-we-still-need-humans-in-the-loop-comparing-human-and-llm-annotation-in-active-learning-for-hostility-detection
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/do-we-still-need-humans-in-the-loop-comparing-human-and-llm-annotation-in-active-learning-for-hostility-detectionMCP example
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}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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