Exploration and selection of LLM models for financial text simplification
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| Autores: | , |
|---|---|
| Formato: | artículo original |
| Estado: | Versión publicada |
| Fecha de Publicación: | 2024 |
| Descripción: | This research is dedicated to the simplification of Spanish-language financial texts to enhance accessibility for screen readers. We present a qualitative and quantitative analysis of the text simplification process, employing a set of Spanish simplification rules and metrics. Our study evaluates the outcomes resulting from the application of three distinct financial datasets to four pre-trained models. The primary objective is to identify the most effective models for text simplification and determine those warranting further investment through fine-tuning and training. This study contributes to improving the accessibility and comprehensibility of financial documents for individuals with visual impairments. |
| País: | Portal de Revistas TEC |
| Institución: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| Lenguaje: | Inglés |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/7297 |
| Acceso en línea: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/7297 |
| Palabra clave: | LLM models simplification SARI BLEU AI Llama financial data Modelos LLM simplificación SARi IA datos financieros |