English(EN) Scalable Conversational Assessment: Chat-Based Exams with a Two-Agent LLM Pipeline

双智能体LLM管道实现可扩展的对话式考试

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-14 05:00

研究人员开发了一种新颖的双智能体LLM管道，用于可扩展的对话式评估，旨在进行交互式文本考试。该系统将面试官与隐藏的评估者分开，面试官负责与学生互动，评估者负责指导过程和跟踪进度。该系统已通过模拟学生进行了测试，并在人工智能素养课程中部署，目前正致力于改进问题生成和评分准确性。 AI

影响该系统可以实现更具可扩展性和交互性的教育评估，尤其适用于人工智能素养等复杂学科。

排序理由该集群包含一篇详细介绍新研究方法和系统的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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

本文如何被排名

Signal score: 16 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍新研究方法和系统的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, product, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
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arXiv cs.AI TIER_1 English(EN) · Geoffrey Challen, Craig Zilles · 2026-11-14 05:00

可扩展的对话式评估：基于聊天、采用双代理LLM管道的考试

arXiv:2611.17220v1 Announce Type: cross Abstract: Oral exams are compelling because (1) students can be asked to provide their reasoning for an answer and (2) their interactive nature permits follow-up questions to resolve ambiguous answers. But oral exams scale poorly. In this p…