Exploration and selection of LLM models for financial text simplification
保存先:
| 著者: | , |
|---|---|
| フォーマット: | artículo original |
| 状態: | Versión publicada |
| 出版日付: | 2024 |
| その他の書誌記述: | 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. |
| 国: | Portal de Revistas TEC |
| 機関: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| 言語: | Inglés |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/7297 |
| オンライン･アクセス: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/7297 |
| キーワード: | LLM models simplification SARI BLEU AI Llama financial data Modelos LLM simplificación SARi IA datos financieros |