Researchers have developed the Schema Coherence Inventory (SCI), a new tool to measure whether a language model's assigned beliefs genuinely organize its behavior, rather than just adopting a mood. The SCI consists of 96 forced-choice items designed to assess belief organization based on Beck's cognitive model. Validation studies across multiple language models and parameter sizes show that the SCI can accurately identify a model's core beliefs, with human raters achieving a 79.5% accuracy rate. AI
IMPACT Provides a method to evaluate the depth of belief organization in LLMs, crucial for their use in sensitive applications like simulated patients.
RANK_REASON The cluster contains an academic paper detailing a new measurement tool for language models. [lever_c_demoted from research: ic=1 ai=1.0]
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