Nicolas Calbucura

A Simple Method to Enhance Pre-trained Language Models with Speech Tokens for Classification

This paper presents a simple method that allows to easily enhance textual pre-trained large language models with speech information, when fine-tuned for a specific classification task, and demonstrates its effectiveness on Argumentative Fallacy Detection and Classification tasks, and affective computing tasks on a widely-used dataset.