Yusuf Sali

Intent Classification Under Label Noise: A Comparative Analysis of Fine-Tuned Transformers and Large Language Models

Label noise, which is frequently encountered in real-world data, is a critical problem that can directly degrade model performance. In this study, we systematically investigated the impact of label noise on intent classification by comparing the in-context learning (ICL) approach of large language models (LLMs) with fi...