用简单提示词，ChatGPT能高效编辑结构化文档。
Large Language Models are Pattern Matchers: Editing Semi-Structured and Structured Documents with ChatGPT
- 用直接提示词让ChatGPT识别并处理文档结构。
- 在两种案例中，编辑准确率高且响应稳定。
- 适合想快速处理表格、清单等数据的人使用。
大型语言模型（LLMs）具有广泛的应用潜力，但其实际能力仍不完全明确。本文通过定性研究方法，以ChatGPT为工具开展两项案例研究，深入分析其在编辑结构化与半结构化文档方面的表现。实验表明，在仅提供基础、直接提示的情况下，LLM能有效完成文档编辑任务。ChatGPT展现出强大的结构识别与处理能力，说明在提示中明确任务与数据结构可提升模型理解与求解能力。此外，实验还揭示了ChatGPT出色的模式匹配能力，这一现象值得进一步研究，或有助于理解大模型幻觉产生的机制。
原文摘要 · Abstract (English)
Large Language Models (LLMs) offer numerous applications, the full extent of which is not yet understood. This paper investigates if LLMs can be applied for editing structured and semi-structured documents with minimal effort. Using a qualitative research approach, we conduct two case studies with ChatGPT and thoroughly analyze the results. Our experiments indicate that LLMs can effectively edit structured and semi-structured documents when provided with basic, straightforward prompts. ChatGPT demonstrates a strong ability to recognize and process the structure of annotated documents. This suggests that explicitly structuring tasks and data in prompts might enhance an LLM's ability to understand and solve tasks. Furthermore, the experiments also reveal impressive pattern matching skills in ChatGPT. This observation deserves further investigation, as it may contribute to understanding the processes leading to hallucinations in LLMs.
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