用大模型生成可定制的简洁文本，提升信息包容性。
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification
- 基于GPT-4和Llama-3，支持多输入格式与用户定制
- 系统可生成适配不同读者群体的平易语言内容
- 适合教育、政务等需普适沟通的场景
文本简化对提升复杂内容的可读性至关重要，有助于服务有理解障碍的多元受众。然而，简化材料稀缺，限制了个人与职业发展，也阻碍社会融合。尽管已有研究探索自动文本简化方法，但尚未充分利用大语言模型（LLMs）实现针对不同目标群体和简化程度的个性化输出。此外，虽平易语言实践已被证明对用户和组织均有裨益，却仍应用不足。本文介绍SimplifyMyText，首个支持从输入文本和文件上传生成平易语言内容的系统，具备灵活定制功能，适用于多样读者群体。我们采用GPT-4与Llama-3进行生成，并在多个指标上评估输出效果。本工作推动了自动文本简化研究，强调了定制化沟通在促进包容性中的关键作用。
原文摘要 · Abstract (English)
Text simplification is essential for making complex content accessible to diverse audiences who face comprehension challenges. Yet, the limited availability of simplified materials creates significant barriers to personal and professional growth and hinders social inclusion. Although researchers have explored various methods for automatic text simplification, none fully leverage large language models (LLMs) to offer tailored customization for different target groups and varying levels of simplicity. Moreover, despite its proven benefits for both consumers and organizations, the well-established practice of plain language remains underutilized. In this paper, we https://simplifymytext.org, the first system designed to produce plain language content from multiple input formats, including typed text and file uploads, with flexible customization options for diverse audiences. We employ GPT-4 and Llama-3 and evaluate outputs across multiple metrics. Overall, our work contributes to research on automatic text simplification and highlights the importance of tailored communication in promoting inclusivity.
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