English(EN) MASC: A Multi-Agent Self-Calibration Framework with Latent Construct Alignment for Consistent Client Role-Playing in Psychological Counseling

新框架MASC增强了咨询中AI客户的角色扮演能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 04:00

研究人员开发了MASC（一种多智能体自校准框架），旨在提高心理咨询中AI模拟客户的一致性。该框架通过结合结构引导生成、协作细化、一致性验证和基于记忆的修订，解决了角色漂移和不切实际的情绪状态等问题。为了评估这些模拟，引入了一个名为CRPC-Bench的新基准，其中包括客户档案、个性特征和回合级别的心理动态。 AI

影响这项研究可能为培训心理健康专业人员和进行心理学研究带来更可靠的AI驱动工具。

排序理由该集群包含一篇详细介绍AI模拟新框架和基准的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Shixin Peng, Kun Jiang, Jiaxing Zheng, Qihao Yang, Jingying Chen · 2026-10-07 04:00

MASC：一种具有潜在建构对齐的多代理自校准框架，用于心理咨询中一致的客户角色扮演

arXiv:2610.08250v1 Announce Type: new Abstract: Large language models are increasingly used to simulate clients for counselor training and psychological counseling research, but reliable simulation requires clients to remain psychologically coherent across extended interactions. …

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报道来源 [1]

MASC：一种具有潜在建构对齐的多代理自校准框架，用于心理咨询中一致的客户角色扮演

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