4 papers
Advancing Multi-Party Dialogue Framework with Speaker-ware Contrastive Learning
Zhongtian Hu, Qi He, Ronghan Li +2
Multi-party dialogues, common in collaborative scenarios like brainstorming sessions and negotiations, pose significant challenges due to their complexity and diverse speaker roles…
Can MLLMs Generalize to Multi-Party dialog? Exploring Multilingual Response Generation in Complex Scenarios
Zhongtian Hu, Yiwen Cui, Ronghan Li +2
Current multilingual large language models(MLLMs) still focus on simple question-answering formats, often overlooking more complex dialogue scenarios. In other words, their capabil…
UniRQR: A Unified Model for Retrieval Decision, Query, and Response Generation in Internet-Based Knowledge Dialogue Systems
Zhongtian Hu, Yangqi Chen, Meng Zhao +2
Knowledge-based dialogue systems with internet retrieval have recently attracted considerable attention from researchers. The dialogue systems overcome a major limitation of tradit…
Dynamically Retrieving Knowledge via Query Generation for Informative Dialogue Generation
Zhongtian Hu, Lifang Wang, Yangqi Chen +5
Knowledge-driven dialog system has recently made remarkable breakthroughs. Compared with general dialog systems, superior knowledge-driven dialog systems can generate more informat…