Unverified50% confidenceOpinionExact time
LLMs can serve as auxiliary tools to quickly screen obvious errors and pre-annotate candidate spans, but final judgment still requires human review, especially in scenarios with high precision requirements.
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Long-term
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10/12/2026
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Related Claims
UnverifiedFor complex Skills that require reviewing complete trajectories, LLM as a Judge can be introduced along with a rubric to determine pass or fail.79% similarUnverifiedLLMs perform reliably in high-recall screening tasks such as title-abstract screening and full-text screening, making them suitable for independent or semi-automated processing, while evidence extraction tasks still require human leadership.79% similarUnverifiedLLM evaluation needs to simultaneously consider multiple dimensions such as factual accuracy, instruction-following, harmlessness, helpfulness, and expression quality, and tensions among these dimensions are common.76% similarUnverified对于难以自动化评估的指标（如幻觉率），部分团队引入LLM-as-Judge方法进行辅助评分74% similarUnverifiedFor scenarios with extremely high accuracy requirements (such as financial data), a hybrid approach of "traditional OCR + LLM post-processing validation" is recommended.74% similar
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