Clopper-Pearson
PulseAugur coverage of Clopper-Pearson — every cluster mentioning Clopper-Pearson across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI audit of fetal biometry reveals limitations in error rate control
This research paper introduces a method for auditing selective prediction in prenatal ultrasound biometry, focusing on head circumference (HC) measurements. The study found that while statistical risk control can certif…
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New LLM compliance framework highlights statistical limitations in prompt testing
A new statistical compliance framework called Boundary Stress Protocol (BSP) has been developed to address the shortcomings of traditional LLM evaluation methods. The framework highlights that simple pass/fail rates are…
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Study reveals random testing underestimates neural operator error
A new study published on arXiv investigates the accuracy of neural operators, specifically those utilizing wave-based processors for Fourier layers. The research highlights that random-device testing significantly under…
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LLM evaluation confidence intervals are too narrow due to clustered data
A common assumption in evaluating language models is that each test example is independent, but this is often violated in practice. When examples are clustered (e.g., multiple questions from the same document or turns f…
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AI risk control methods fail under grouped deployment, study finds
A new research paper published on arXiv examines the effectiveness of selective prediction methods for risk control in AI systems. The study found that common practices like naive thresholding can lead to a false sense …