Paper 27: Enhancing Chilean Adolescents Writing Skills: Assisted Story Creation with LLMs

This study presents an automatic story generation model in Chilean Spanish, designed to assist students in the writing process and help improve their writing skills. The methodology employed includes the creation of a corpus of stories in Spanish and Chilean Spanish, as well as data processing and extraction of relevant information from the stories. The model is trained using fine-tuning and prompt-engineering techniques to adapt it to story generation. The results obtained indicate that the stories generated by the model outperform other text generation models in terms of relevant natural language processing metrics.