2 papers
cs.CL2024
A Two-dimensional Zero-shot Dialogue State Tracking Evaluation Method using GPT-4
Ming Gu, Yan Yang
Dialogue state tracking (DST) is evaluated by exact matching methods, which rely on large amounts of labeled data and ignore semantic consistency, leading to over-evaluation. Curre…
cs.CL2024
Plan, Generate and Complicate: Improving Low-resource Dialogue State Tracking via Easy-to-Difficult Zero-shot Data Augmentation
Ming Gu, Yan Yang
Data augmentation methods have been a promising direction to improve the performance of small models for low-resource dialogue state tracking. However, traditional methods rely on…