arXiv：cs.AI· Marc Lauritsen, Hannes Westermann·· 6 小时前AI 评分25
用生成式 AI 增强"经典"文档自动化：AI for Access to Justice Workshop at ICAIL 2025 研究
In With the Old: Enhancing 'Classical' Document Automation with Generative AI
AI 导读
研究探讨了基于专家系统等符号方法的文档自动化服务如何与当前生成式 AI 方法相互增强，并报告了利用大语言模型识别和修复非专业人士所写文本问题的初步实验。研究还讨论了这一结合的可能收益与挑战。
正文
Abstract:Software-based legal assistance systems have leveraged many different forms of knowledge representation and reasoning. This article explores how document automation services rooted in expert system style and other symbolic approaches can usefully enhance and be enhanced by current generative AI approaches. We discuss the possible benefits and challenges, and report on preliminary experiments in using large language models to identify and fix issues in texts written by laypeople.
| Comments: | 10 pages. AI for Access to Justice Workshop at ICAIL 2025 |
| Subjects: | Artificial Intelligence (cs.AI); Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.07480 [cs.AI] |
| (or arXiv:2610.07480v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.07480 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Hannes Westermann [view email]
[v1]
Mon, 5 Oct 2026 22:45:20 UTC (454 KB)
来源：arXiv：cs.AI · arxiv.org