most citedLearning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding

1 citations · 3 across the 7 of their papers we have counts for

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7 papers

cs.CV2023

FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier

Zhongjie Duan, Chengyu Wang, Cen Chen +3

With the emergence of diffusion models and rapid development in image processing, it has become effortless to generate fancy images in tasks such as style transfer and image editin…

cs.CV2023

Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts

Yunshi Lan, Xiang Li, Xin Liu +3

Zero-shot Visual Question Answering (VQA) is a prominent vision-language task that examines both the visual and textual understanding capability of systems in the absence of traini…

cs.CL20231 cited

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding

Ruyao Xu, Taolin Zhang, Chengyu Wang +6

Knowledge-Enhanced Pre-trained Language Models (KEPLMs) improve the performance of various downstream NLP tasks by injecting knowledge facts from large-scale Knowledge Graphs (KGs)…

cs.CL2023

Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation

Yuanyuan Liang, Jianing Wang, Hanlun Zhu +3

The task of Question Generation over Knowledge Bases (KBQG) aims to convert a logical form into a natural language question. For the sake of expensive cost of large-scale question…

cs.CV20231 cited

DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion

Zhenzhen Chu, Jiayu Chen, Cen Chen +4

Self-attention-based vision transformers (ViTs) have emerged as a highly competitive architecture in computer vision. Unlike convolutional neural networks (CNNs), ViTs are capable…

cs.CV2023

DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis

Zhongjie Duan, Lizhou You, Chengyu Wang +4

In recent years, diffusion models have emerged as the most powerful approach in image synthesis. However, applying these models directly to video synthesis presents challenges, as…