发表机构
The Hong Kong Polytechnic University; Chongqing University of Posts and Telecommunications（香港理工大学; 重庆邮电大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
PolyInterview平台利用大语言模型，基于职位描述和简历为求职者生成定制面试问题，通过数字人类面试官进行多轮口语面试，全面评估回答内容、语音表达和非语言行为，提供结构化反馈，助力求职者更好地准备面试。
AI 中文摘要
准备求职面试对获得心仪职位很重要，但难以获得现实的练习机会：真实面试少，专家模拟辅导成本高，自我练习缺乏适应性对话和结构化评估。现有系统只能部分满足需求。我们提出PolyInterview，一个基于大语言模型的沉浸式模拟面试平台，具有全面多模态评估。它利用职位描述和简历生成定制问题，通过数字人类面试官进行多轮口语面试并评估回答内容、语音表达和非语言行为。四个并行评估器生成13个行为级特征，汇总为10个评估方面和两个能力轨道。报告将分数与行为证据和可行建议相联系。该平台公开可用，当前快照包含101个账户、1564次面试、7665个生成问题和1422个五阶段问题集。93.7%的会话中生成问题与匹配职位描述更相符。专家评估发现问题规划和反馈良好。
英文摘要
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 dialogue nor structured assessment. Existing systems typically address only parts of this need through fixed question sequences, limited communication channels, or feedback with little supporting evidence. We present PolyInterview, an LLM-based platform for immersive mock interview practice with comprehensive multimodal assessment. PolyInterview uses the target job description and CV to generate questions tailored to the role and candidate, conducts multi-turn spoken interviews with a lip-synced digital human interviewer that asks answer-aware follow-up questions, and evaluates response content, vocal delivery, and non-verbal behavior. Four parallel evaluators produce 13 behavior-level features that are aggregated into 10 assessment aspects and two competency tracks. Guided by the KSA and STAR frameworks, the report links each score to behavioral evidence and actionable recommendations. PolyInterview is publicly accessible. Its current all-account snapshot contains 101 accounts, 1,564 interview sessions, 7,665 generated questions, and 1,422 five-stage question sets. Generated questions are more closely aligned with their matched job description than with cross-role job descriptions in 93.7% of sessions. An evaluation by ten experts found strong question plans and actionable feedback.
Comments10 pages, 7 figures, and 4 tables
