Marcel：一个面向大学生支持的轻量级开源对话代理
Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support
AI总结：
本文介绍Marcel，一个轻量级开源对话代理，通过检索增强生成和FAQ检索器为大学生提供招生咨询，减轻员工负担，并在资源受限环境中易于部署。
摘要：
我们提出了Marcel，一个轻量级且开源的对话代理，旨在支持准大学生处理与招生相关的咨询。该系统旨在提供快速且个性化的响应，同时减轻大学员工的工作负担。我们采用检索增强生成技术，将答案基于大学资源，并为用户提供可验证且与上下文相关的信息。我们引入了一个常见问题（FAQ）检索器，将用户问题映射到知识库条目，这使管理员能够引导检索，并优于标准的密集/混合检索策略。该系统专为在资源受限的学术环境中轻松部署而设计。我们详细介绍了系统架构，对其组件进行了技术评估，并报告了实际部署中的见解。
英文摘要：
We present Marcel, a lightweight and open-source conversational agent designed to support prospective students with admission-related inquiries. The system aims to provide fast and personalized responses, while reducing workload of university staff. We employ retrieval-augmented generation to ground answers in university resources and to provide users with verifiable, contextually relevant information. We introduce a Frequently Asked Question (FAQ) retriever that maps user questions to knowledge-base entries, which allows administrators to steer retrieval, and improves over standard dense/hybrid retrieval strategies. The system is engineered for easy deployment in resource-constrained academic settings. We detail the system architecture, provide a technical evaluation of its components, and report insights from a real-world deployment.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
