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New LLM framework CogWM tracks cognitive states for social influence evaluation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new LLM-based framework called CogWM to evaluate social influence in dialogues. This model focuses on tracking changes in a user's internal cognitive states, such as beliefs, desires, intentions, and emotions, rather than just surface-level text metrics. CogWM acts as both a user simulator and an evaluation platform, utilizing a three-tier framework for comprehensive assessment. The model was trained on over 150,000 user-turn samples and demonstrated improved accuracy in predicting emotional states, outperforming GPT-5.5. In discrimination trials, CogWM successfully identified commercial agents based on their cognitive influence, with Llama-4-Scout performing best. AI

IMPACT This research introduces a novel method for evaluating AI's impact on human cognitive states in dialogues, potentially improving AI's ability to understand and influence users.

RANK_REASON The cluster contains an academic paper detailing a new model and evaluation framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New LLM framework CogWM tracks cognitive states for social influence evaluation

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The cluster contains an academic paper detailing a new model and evaluation framework. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Minghui Ma, Bin Guo, Han Wang, Mengqi Chen, Jingqi Liu, Yan Liu, Zhiwen Yu ·

    Cognitive World Models for Process-Level Social Influence Evaluation

    arXiv:2606.29495v1 Announce Type: new Abstract: Social influence dialogue changes user behavior by altering internal cognitive states. The central evaluation question is whether the user's beliefs, desires, intentions, and emotions measurably change over the course of conversatio…

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