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cs.CL2024
Inference is All You Need: Self Example Retriever for Cross-domain Dialogue State Tracking with ChatGPT
Jihyun Lee, Gary Geunbae Lee
Traditional dialogue state tracking approaches heavily rely on extensive training data and handcrafted features, limiting their scalability and adaptability to new domains. In this…
cs.CL2024
Speak & Spell: LLM-Driven Controllable Phonetic Error Augmentation for Robust Dialogue State Tracking
Jihyun Lee, Solee Im, Wonjun Lee +1
Dialogue State Tracking (DST) is a key part of task-oriented dialogue systems, identifying important information in conversations. However, its accuracy drops significantly in spok…