6 citations · 15 across the 5 of their papers we have counts for
5 papers
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training
Weihong Zhong, Mao Zheng, Duyu Tang +4
Although large-scale video-language pre-training models, which usually build a global alignment between the video and the text, have achieved remarkable progress on various downstr…
Controllable Text Generation via Probability Density Estimation in the Latent Space
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma +4
Previous work on controllable text generation has explored the idea of control from the latent space, such as optimizing a representation with attribute-related classifiers or samp…
A Distributional Lens for Multi-Aspect Controllable Text Generation
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma +3
Multi-aspect controllable text generation is a more challenging and practical task than single-aspect control. Existing methods achieve complex multi-aspect control by fusing multi…
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation
Xiaocheng Feng, Yawei Sun, Bing Qin +5
In this paper, we focus on a new practical task, document-scale text content manipulation, which is the opposite of text style transfer and aims to preserve text styles while alter…
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)
Heng Gong, Xiaocheng Feng, Bing Qin +1
Although Seq2Seq models for table-to-text generation have achieved remarkable progress, modeling table representation in one dimension is inadequate. This is because (1) the table…