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pro vyhledávání: '"Zhang, Daoze"'
As large language models rapidly evolve to support longer context, there is a notable disparity in their capability to generate output at greater lengths. Recent study suggests that the primary cause for this imbalance may arise from the lack of data
Externí odkaz:
http://arxiv.org/abs/2410.10210
Publikováno v:
SIGKDD 2024
Physiological signals serve as indispensable clues for understanding various physiological states of human bodies. Most existing works have focused on a single type of physiological signals for a range of application scenarios. However, as the body i
Externí odkaz:
http://arxiv.org/abs/2409.00122
Autor:
Zhao, Yuze, Huang, Jintao, Hu, Jinghan, Wang, Xingjun, Mao, Yunlin, Zhang, Daoze, Jiang, Zeyinzi, Wu, Zhikai, Ai, Baole, Wang, Ang, Zhou, Wenmeng, Chen, Yingda
Recent development in Large Language Models (LLMs) and Multi-modal Large Language Models (MLLMs) have leverage Attention-based Transformer architectures and achieved superior performance and generalization capabilities. They have since covered extens
Externí odkaz:
http://arxiv.org/abs/2408.05517