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pro vyhledávání: '"Wang, Pengda"'
We examine the language capabilities of language models (LMs) from the critical perspective of human language acquisition. Building on classical language development theories, we propose a three-stage framework to assess the abilities of LMs, ranging
Externí odkaz:
http://arxiv.org/abs/2410.13259
Although large language models (LLMs) have demonstrated remarkable proficiency in modeling text and generating human-like text, they may exhibit biases acquired from training data in doing so. Specifically, LLMs may be susceptible to a common cogniti
Externí odkaz:
http://arxiv.org/abs/2404.01461
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 9, Pp 1410-1419 (2024)
Aimed at the coupling problem of the combined wind-storage system participating in different call time scale scenarios in electricity markets, an optimal dispatching method of the combined wind-storage system oriented to the application of multi-time
Externí odkaz:
https://doaj.org/article/451511142fef4a968ed2f24a622aff6c
Publikováno v:
In Applied Soft Computing October 2024 164
Autor:
Wang, Pengda, Xiao, Jinxin, Huang, Sheng, Wu, Qiuwei, Zhang, Menglin, Wu, Xuan, Shen, Feifan, Ma, Kuichao
Publikováno v:
In Applied Energy 1 January 2025 377 Part D
Publikováno v:
In Expert Systems With Applications 1 January 2025 259
Publikováno v:
In Applied Energy 15 July 2024 366
Publikováno v:
In International Journal of Electrical Power and Energy Systems February 2024 156
Publikováno v:
In Neural Networks January 2024 169:143-153
Akademický článek
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