Evolutionary Optimization of Instruction-Tuned Large Language Model Inference Parameters for Spanish Text Simplification
The framework offers a replicable methodology for inference parameter optimization applicable to Spanish and other under-resourced languages in Latin American Natural Language Processing (NLP) contexts and provides empirical support for the single-objective approach within the studied setting.