Evaluator-specific demonstrations with retrospective reasoning improve LLM simulation of individual preference judges by up to 9.9 points over a non-personalized base judge, while interface telemetry often degrades accuracy.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Speech analysis of think-aloud protocols shows that transferable insights in insight problems are accompanied by spontaneous verbal labeling of problem types and faster performance gains.
citing papers explorer
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PERSONAJUDGE: Simulating Individual Human Preference Judgments with Evaluator-Specific Demonstration Data
Evaluator-specific demonstrations with retrospective reasoning improve LLM simulation of individual preference judges by up to 9.9 points over a non-personalized base judge, while interface telemetry often degrades accuracy.
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Leveraging Speech to Identify Signatures of Insight and Transfer in Problem Solving
Speech analysis of think-aloud protocols shows that transferable insights in insight problems are accompanied by spontaneous verbal labeling of problem types and faster performance gains.