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Regularized Projection Matrix Approximation with Applications to Community Detection

Autor: Zhai, Zheng, Xu, Jialu, Wu, Mingxin, Li, Xiaohui

This paper introduces a regularized projection matrix approximation framework designed to recover cluster information from the affinity matrix. The model is formulated as a projection approximation problem, incorporating an entry-wise penalty functio

Externí odkaz: http://arxiv.org/abs/2405.16598

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PandaGPT: One Model To Instruction-Follow Them All

Autor: Su, Yixuan, Lan, Tian, Li, Huayang, Xu, Jialu, Wang, Yan, Cai, Deng

We present PandaGPT, an approach to emPower large lANguage moDels with visual and Auditory instruction-following capabilities. Our pilot experiments show that PandaGPT can perform complex tasks such as detailed image description generation, writing s

Externí odkaz: http://arxiv.org/abs/2305.16355

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An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation

Autor: Su, Yixuan, Xu, Jialu

In the study, we empirically compare the two recently proposed decoding methods, i.e. Contrastive Search (CS) and Contrastive Decoding (CD), for open-ended text generation. The automatic evaluation results suggest that, while CS performs worse than C

Externí odkaz: http://arxiv.org/abs/2211.10797

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