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English(EN) LLM-Based Selection of Incongruent Verbal and Nonverbal Behavior for Virtual Humans

LLM生成虚拟人类不一致的言语和非言语行为

研究人员开发了一种在虚拟人类中生成不一致言语和非言语行为的方法,超越了对语音内容的简单强化。该方法在一篇新论文中有所阐述,利用大型语言模型(LLM)来选择对话和非言语线索之间在语境上匹配的不一致之处。这对于咨询模拟等应用尤其重要,因为在这些应用中,逼真且细致的社交互动对于培训至关重要。 AI

影响 增强了虚拟代理的真实感,可能改进社交互动培训模拟。

排序理由 该集群包含一篇详细介绍新研究方法的学术论文。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

LLM生成虚拟人类不一致的言语和非言语行为

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Parisa Ghanad Torshizi, Stacy Marsella ·

    基于LLM的虚拟人言语和非言语不一致行为选择

    arXiv:2608.22731v1 Announce Type: new Abstract: Nonverbal behavior generation systems for virtual agents often take an utterance as input and generate nonverbal behaviors that emphasize or illustrate the content of the verbal channel. However, human nonverbal behavior is shaped b…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    基于LLM的虚拟人言行不一致行为选择

    Nonverbal behavior generation systems for virtual agents often take an utterance as input and generate nonverbal behaviors that emphasize or illustrate the content of the verbal channel. However, human nonverbal behavior is shaped by more than the content of the speech. It is als…