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New tool measures if language models truly organize beliefs

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]

Read on arXiv cs.CL →

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New tool measures if language models truly organize beliefs

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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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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yuqi Wu, Deyang Li, Katharine Hibbard, Ron Oswald, David Sinclair, Adegboyega Sapara, Kalutota Kuruwe Arachchige Sajana Indula Samarasinghe, Abhinav Pillai, Reham Shalaby, Riffat Alam, Xin-Min Li, Yanbo Zhang, Jie Chen ·

    The Schema Coherence Inventory: Measuring Whether an Assigned Belief Organizes a Language Model's Cognition

    arXiv:2610.31683v1 Announce Type: new Abstract: Persona-conditioned language models are used as simulated patients and affective agents, but there is no validated way to ask whether a belief assigned to such a model organizes its behaviour or whether the model has merely adopted …