Are LLMs Robust for Spoken Dialogues?

SM Mousavi, G Roccabruna, S Alghisi… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Pre-Trained Language Models have demonstrated state-of-the-art performance in
different downstream tasks, including dialogue state tracking and end-to-end response …

RA2FD: Distilling Faithfulness into Efficient Dialogue Systems

Z Zhu, Y Liao, C Xu, Y Guan, Y Wang… - Proceedings of the 2024 …, 2024 - aclanthology.org
Generating faithful and fast responses is crucial in the knowledge-grounded dialogue.
Retrieval Augmented Generation (RAG) strategies are effective but are inference inefficient …

Efficient Dynamic Hard Negative Sampling for Dialogue Selection

J Han, D Lee, J Shin, H Bae, J Bang… - Proceedings of the …, 2024 - aclanthology.org
Recent studies have demonstrated significant improvements in selection tasks, and a
considerable portion of this success is attributed to incorporating informative negative …

Towards Optimizing Pre-trained Language Model Ensemble Learning for Task-oriented Dialogue System

Z Zhu, Y Liao, Z Chen, Y Wang… - Proceedings of The …, 2023 - aclanthology.org
Task-oriented dialogue systems that employ external knowledge to generate informative
responses have become an important field of research. This paper outlines our contribution …