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Found 5 papers, 2 papers with code
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Text-centric visual question answering (VQA) has made great strides with the development of Multimodal Large Language Models (MLLMs), yet open-source models still fall short of leading models like GPT4V and Gemini, partly due to a lack of extensive, high-quality instruction tuning data.
Semi-Supervised Few-Shot Learning via Multi-Factor Clustering
And we exploit the pseudo labels of unlabeled samples by MFC to expand the support set for obtaining more distribution information.
DSBERT:Unsupervised Dialogue Structure learning with BERT
Unsupervised dialogue structure learning is an important and meaningful task in natural language processing.
Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes
Clean video frames for dynamic scenes cannot be captured with a long-exposure shutter or averaging multi-shots as was done for static images.
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