6 citations · 16 across the 15 of their papers we have counts for
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cs.CL2023
EXMODD: An EXplanatory Multimodal Open-Domain Dialogue dataset
Hang Yin, Pinren Lu, Ziang Li +2
The need for high-quality data has been a key issue hindering the research of dialogue tasks. Recent studies try to build datasets through manual, web crawling, and large pre-train…
cs.IR2023★ 6 cited
Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey
Mingzhu Zhang, Ruiping Yin, Zhen Yang +2
Multi-task learning has been widely applied in computational vision, natural language processing and other fields, which has achieved well performance. In recent years, a lot of wo…
cs.CL2023★ 1 cited
Heterogeneous-Branch Collaborative Learning for Dialogue Generation
Yiwei Li, Shaoxiong Feng, Bin Sun +1
With the development of deep learning, advanced dialogue generation methods usually require a greater amount of computational resources. One promising approach to obtaining a high-…