7 citations · 15 across the 8 of their papers we have counts for
7 papers
Uncertainty-Aware Image Captioning
Zhengcong Fei, Mingyuan Fan, Li Zhu +3
It is well believed that the higher uncertainty in a word of the caption, the more inter-correlated context information is required to determine it. However, current image captioni…
Meta-Ensemble Parameter Learning
Zhengcong Fei, Shuman Tian, Junshi Huang +2
Ensemble of machine learning models yields improved performance as well as robustness. However, their memory requirements and inference costs can be prohibitively high. Knowledge d…
Selecting Stickers in Open-Domain Dialogue through Multitask Learning
Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei +2
With the increasing popularity of online chatting, stickers are becoming important in our online communication. Selecting appropriate stickers in open-domain dialogue requires a co…
Semi-Autoregressive Image Captioning
Xu Yan, Zhengcong Fei, Zekang Li +3
Current state-of-the-art approaches for image captioning typically adopt an autoregressive manner, i.e., generating descriptions word by word, which suffers from slow decoding issu…
Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark
Zhengcong Fei, Zekang Li, Jinchao Zhang +2
As a kind of new expression elements, Internet memes are popular and extensively used in online chatting scenarios since they manage to make dialogues vivid, moving, and interestin…
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency
Zekang Li, Jinchao Zhang, Zhengcong Fei +2
A good open-domain chatbot should avoid presenting contradictory responses about facts or opinions in a conversational session, known as its consistency capacity. However, evaluati…