SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification

April 19, 2025 ยท Declared Dead ยท ๐Ÿ› European Conference on Information Retrieval

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Authors Michael Fรคrber, Parisa Aghdam, Kyuri Im, Mario Tawfelis, Hardik Ghoshal arXiv ID 2504.14223 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.HC Citations 5 Venue European Conference on Information Retrieval Last Checked 5 months ago
Abstract
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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