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Found 5 papers, 1 papers with code
Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
In this paper, we propose the Emotional Chain-of-Thought (ECoT), a plug-and-play prompting method that enhances the performance of LLMs on various emotional generation tasks by aligning with human emotional intelligence guidelines.
LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge
1) Progressive incorporation of fine-grained spatial-aware visual knowledge.
See More for Scene: Pairwise Consistency Learning for Scene Classification
In this paper, we propose to understand scene images and the scene classification CNN models in terms of the focus area.
An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering
As the data size in Machine Learning fields grows exponentially, it is inevitable to accelerate the computation by utilizing the ever-growing large number of available cores provided by high-performance computing hardware.
Scene Recognition with Prototype-agnostic Scene Layout
Due to the large intra-class structural diversity, building and modeling flexible structural layout to adapt various image characteristics is a challenge.
