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Found 3 papers, 2 papers with code
Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
On the one hand, the difference perception between the depth maps of the dehazing result and the ideal image is proposed to promote the dehazing network to pay attention to the non-ideal areas of the dehazing.
Prompting Large Language Models for Counterfactual Generation: An Empirical Study
Based on this framework, we 1) investigate the strengths and weaknesses of LLMs as the counterfactual generator, and 2) disclose the factors that affect LLMs when generating counterfactuals, including both the intrinsic properties of LLMs and prompt designing.
3D Tensor-based Deep Learning Models for Predicting Option Price
Option pricing is a significant problem for option risk management and trading.
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