BlossomPsy combines multi-turn LLM dialogue, photo-based items, a multi-head classifier, modified UCB, and PID-tuned confidence scaling for adaptive MBTI assessment with preliminary human and LLM evaluation.
Measuring individual differences in implicit cognition: the implicit association test.Journal of personality and social psychology, 74(6):1464, 1998
2 Pith papers cite this work. Polarity classification is still indexing.
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STAMP-LLM is a two-phase psychometric protocol for designing and applying bias measures to LLMs, illustrated with one explicit and two implicit racial bias tests.
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BlossomPsy: A User-Centric AI System for Adaptive and Engaging MBTI Personality Assessments
BlossomPsy combines multi-turn LLM dialogue, photo-based items, a multi-head classifier, modified UCB, and PID-tuned confidence scaling for adaptive MBTI assessment with preliminary human and LLM evaluation.
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Designing Psychometric Bias Measures for ChatBots: An Application to Racial Bias Measurement
STAMP-LLM is a two-phase psychometric protocol for designing and applying bias measures to LLMs, illustrated with one explicit and two implicit racial bias tests.