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Found 4 papers, 4 papers with code
Towards LLM-driven Dialogue State Tracking
In this study, we conduct an initial examination of ChatGPT's capabilities in DST.
How Good Are LLMs at Out-of-Distribution Detection?
Out-of-distribution (OOD) detection plays a vital role in enhancing the reliability of machine learning (ML) models.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
We consider the task of few-shot intent detection, which involves training a deep learning model to classify utterances based on their underlying intents using only a small amount of labeled data.
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
It is challenging to train a good intent classifier for a task-oriented dialogue system with only a few annotations.
