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English(EN) PolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment

新的LLM平台提供沉浸式模拟面试和多模态评估

研究人员开发了PolyInterview,一个由LLM驱动的平台,旨在模拟真实的求职面试。该系统根据职位描述和简历生成特定角色的问题,与数字人类面试官进行口头面试,并提供全面的多模态评估。这些评估会评估回答内容、声音表达和非语言行为,提供与行为证据相关的详细反馈和可操作的建议。该平台是公开可用的,并且已经进行了1500多次面试。 AI

影响 通过提供可访问、自适应和详细的反馈,可以显著改善求职面试准备。

排序理由 该集群描述了一篇研究论文,详细介绍了一个新的基于LLM的模拟面试平台。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的LLM平台提供沉浸式模拟面试和多模态评估

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该集群描述了一篇研究论文,详细介绍了一个新的基于LLM的模拟面试平台。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Zhiyuan Wen, Jiannong Cao, Zijian Wang, Chen Chen, Xiaoyun Liu, Jianing Yin, Zhuo Li ·

    PolyInterview:一个基于LLM的沉浸式模拟面试练习平台,提供全面的多模态评估

    arXiv:2607.10310v1 Announce Type: new Abstract: Preparing for job interviews is important for securing desired positions, yet realistic practice remains difficult to access: real interviews are infrequent, expert mock coaching is costly, and self-practice offers neither adaptive …