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Found 4 papers, 2 papers with code
NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance
One module is for adapting general-purpose LLMs to financial domain, and the other module is for enhancing the ability of NumLLM to understand financial text with numeric variables.
Automatic Emergency Dust-Free solution on-board International Space Station with Bi-GRU (AED-ISS)
With a rising attention for the issue of PM2. 5 or PM0. 3, particulate matters have become not only a potential threat to both the environment and human, but also a harming existence to instruments onboard International Space Station (ISS).
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision
In this paper, we propose a method to estimate not only a depth map but an AiF image from a set of images with different focus positions (known as a focal stack).
CLCC: Contrastive Learning for Color Constancy
In this paper, we present CLCC, a novel contrastive learning framework for color constancy.
