Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models

no code implementations • 22 Sep 2023 • Haoyu Gao, Ting-En Lin, Hangyu Li, Min Yang, Yuchuan Wu, Wentao Ma, Yongbin Li

Task-oriented dialogue (TOD) systems facilitate users in executing various activities via multi-turn dialogues, but Large Language Models (LLMs) often struggle to comprehend these intricate contexts.

Dialogue Understanding

SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents

no code implementations • NeurIPS 2023 • Shuzheng Si, Wentao Ma, Haoyu Gao, Yuchuan Wu, Ting-En Lin, Yinpei Dai, Hangyu Li, Rui Yan, Fei Huang, Yongbin Li

SpokenWOZ further incorporates common spoken characteristics such as word-by-word processing and reasoning in spoken language.

Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment

1 code implementation • 19 May 2023 • Tianshu Yu, Haoyu Gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, Chao Wang, Fei Huang, Yongbin Li

In this paper, we propose Speech-text dialog Pre-training for spoken dialog understanding with ExpliCiT cRoss-Modal Alignment (SPECTRA), which is the first-ever speech-text dialog pre-training model.

Emotion Recognition in Conversation Multimodal Intent Recognition +1

Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representation

1 code implementation • 4 May 2023 • Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li

Dialogue Topic Segmentation (DTS) plays an essential role in a variety of dialogue modeling tasks.

Segmentation Semantic Similarity +1