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#model-calibration News & Analysis

27 articles tagged with #model-calibration. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

27 articles
AINeutralarXiv – CS AI · Mar 276/10
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Do LLMs Know What They Know? Measuring Metacognitive Efficiency with Signal Detection Theory

Researchers introduce a new framework to evaluate how well Large Language Models understand their own knowledge limitations, finding that traditional confidence metrics miss key differences between models. The study reveals that models showing similar accuracy can have vastly different metacognitive abilities - their capacity to know what they don't know.

🧠 Llama
AINeutralarXiv – CS AI · Mar 35/104
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Conformal Prediction for Risk-Controlled Medical Entity Extraction Across Clinical Domains

Researchers developed a conformal prediction framework for Large Language Models used in medical entity extraction, testing on FDA drug labels and radiology reports. The study found that model calibration varies significantly across clinical domains, with models being underconfident on structured data but overconfident on free-text reports, achieving 90% target coverage with 9-13% rejection rates.

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