S{\i}tk{\i} Can Toraman

Navigating the Unknown: Intent Classification and Out-of-Distribution Detection Using Large Language Models

Out-of-Distribution (OOD) detection is a challenging task that requires great generalization capability for the practicality and safety of task-oriented dialogue systems (TODS). With the dawn of large language models (LLMs), their enhanced ability to handle diverse patterns and contexts may aid in a