8 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CL2024
A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation
Yongkang Liu, Ercong Nie, Shi Feng +5
Current state-of-the-art dialogue systems heavily rely on extensive training datasets. However, challenges arise in domains where domain-specific training datasets are insufficient…
cs.CV2022★ 8 cited
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth +4
Perceiving the environment is one of the most fundamental keys to enabling Cooperative Driving Automation (CDA), which is regarded as the revolutionary solution to addressing the s…
cs.CL2022★ 5 cited
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation
Yongkang Liu, Shi Feng, Daling Wang +1
Building dialogue generation systems in a zero-shot scenario remains a huge challenge, since the typical zero-shot approaches in dialogue generation rely heavily on large-scale pre…