用AI助手提升遗产指南可读性，实测效果优于通用大模型。
Generative AI in Heritage Practice: Improving the Accessibility of Heritage Guidance
- 定制化微调聊天机器人HAZEL，专攻遗产保护文本优化。
- 在可读性任务中，HAZEL表现略优于ChatGPT（GPT-4）。
- 适合资源有限的遗产机构，但需人工把关文化敏感与技术深度。
本文探讨将生成式人工智能（GenAI）融入专业遗产实践的潜力，旨在提升面向公众的指导文件可及性。我们开发了HAZEL——一个针对遗产保护与阐释文本修订任务微调的GenAI聊天机器人。通过定量评估，对比HAZEL与ChatGPT（GPT-4）在一系列指导文档撰写任务中的表现。结果显示，经微调后的HAZEL表现略优于ChatGPT，表明特定领域微调能提升大语言模型（LLM）的实际应用效果。然而，研究也指出其在文化敏感性和高级技术专业知识方面的显著局限。结论表明，尽管GenAI无法替代人类遗产专业人员完成技术性撰稿，但其在自动化与加速部分撰写流程上的潜力，对资源受限的遗产组织仍具重要价值。
原文摘要 · Abstract (English)
This paper discusses the potential for integrating Generative Artificial Intelligence (GenAI) into professional heritage practice with the aim of enhancing the accessibility of public-facing guidance documents. We developed HAZEL, a GenAI chatbot fine-tuned to assist with revising written guidance relating to heritage conservation and interpretation. Using quantitative assessments, we compare HAZEL's performance to that of ChatGPT (GPT-4) in a series of tasks related to the guidance writing process. The results of this comparison indicate a slightly better performance of HAZEL over ChatGPT, suggesting that the GenAI chatbot is more effective once the underlying large language model (LLM) has been fine-tuned. However, we also note significant limitations, particularly in areas requiring cultural sensitivity and more advanced technical expertise. These findings suggest that, while GenAI cannot replace human heritage professionals in technical authoring tasks, its potential to automate and expedite certain aspects of guidance writing could offer valuable benefits to heritage organisations, especially in resource-constrained contexts.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。