SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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 introduce 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.
Details
| Original language | English |
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| Title of host publication | Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Proceedings |
| Editors | Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto |
| Publisher | Springer Science and Business Media B.V. |
| Pages | 418-424 |
| Number of pages | 7 |
| ISBN (print) | 9783031887161 |
| Publication status | Published - 3 Apr 2025 |
| Peer-reviewed | Yes |
Publication series
| Series | Lecture notes in computer science |
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| Volume | 15575 LNCS |
| ISSN | 0302-9743 |
Conference
| Title | 47th European Conference on Information Retrieval |
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| Abbreviated title | ECIR 2025 |
| Conference number | 47 |
| Duration | 6 - 10 April 2025 |
| Website | |
| Location | IMT Lucca |
| City | Lucca |
| Country | Italy |
External IDs
| ORCID | /0000-0001-5458-8645/work/193180544 |
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Keywords
ASJC Scopus subject areas
Keywords
- Demo System, Large Language Model, Plain Language, Text Simplification