Correcting Human Labels for Rater Effects in AI Evaluation: An Item Response Theory Approach | ScienceToStartup | ScienceToStartup

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References (21)

[1]

Unmasking survey fraud: investigating data quality issues in an MTurk sample

2025Marissa N. Maline, Andrea N. Polonijo

[2]

"All that Glitters": Techniques for Evaluations with Unreliable Model and Human Annotations

2025Michael Hardy

[3]

Using Linkage Sets to Improve Connectedness in Rater Response Model Estimation

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"Develop a tool using psychometric models to enhance the reliability of human evaluations in AI systems by correcting rater effects."

AI Evaluation•Score: 5•View PDF ↗

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Correcting Human Labels for Rater Effects in AI Evaluation: An Item Response Theory Approach

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References (21)

Founder's Pitch

"Develop a tool using psychometric models to enhance the reliability of human evaluations in AI systems by correcting rater effects."

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Correcting Human Labels for Rater Effects in AI Evaluation: An Item Response Theory Approach

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Founder's Pitch

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