Papers by Yongyong Fu

    1 papers
    BNLP: A Text Annotation Platform for Quality Control of LLM-Generated Annotations (2026.findings-acl)

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    Challenge: Existing annotation tools lack support for Large Language Models (LLMs) or use LLMs as one-off preannotation engines, compromising data reliability.
    Approach: They propose a text annotation platform that embeds LLM-assisted labeling into a quality-aware collaborative workflow.
    Outcome: Experiments show that BNLP reduces annotation time by 74.3% and improves annotation quality by 11.6% over purely manual annotation in LLM-assisted settings.

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