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of 296
pro vyhledávání: '"Song, XiaoYang"'
Deep neural networks (DNNs) are often constructed under the closed-world assumption, which may fail to generalize to the out-of-distribution (OOD) data. This leads to DNNs producing overconfident wrong predictions and can result in disastrous consequ
Externí odkaz:
http://arxiv.org/abs/2412.20918
Autor:
Song, Xiaoyang, Adachi, Yuta, Feng, Jessie, Lin, Mouwei, Yu, Linhao, Li, Frank, Gupta, Akshat, Anumanchipalli, Gopala, Kaur, Simerjot
As Large Language Models (LLMs) are integrated with human daily applications rapidly, many societal and ethical concerns are raised regarding the behavior of LLMs. One of the ways to comprehend LLMs' behavior is to analyze their personalities. Many r
Externí odkaz:
http://arxiv.org/abs/2402.14805
Current techniques for Out-of-Distribution (OoD) detection predominantly rely on quantifying predictive uncertainty and incorporating model regularization during the training phase, using either real or synthetic OoD samples. However, methods that ut
Externí odkaz:
http://arxiv.org/abs/2310.08040
As large language models (LLM) evolve in their capabilities, various recent studies have tried to quantify their behavior using psychological tools created to study human behavior. One such example is the measurement of "personality" of LLMs using se
Externí odkaz:
http://arxiv.org/abs/2309.08163
Have Large Language Models (LLMs) developed a personality? The short answer is a resounding "We Don't Know!". In this paper, we show that we do not yet have the right tools to measure personality in language models. Personality is an important charac
Externí odkaz:
http://arxiv.org/abs/2305.14693
Publikováno v:
In Environmental Pollution 1 November 2024 360
Autor:
Yang, Liu, Sun, Yue, Zhang, Jingxiao, Zhu, Longji, Xu, Zihan, Liang, Yao, Song, Xiaoyang, Chen, Xiaomeng
Publikováno v:
In Journal of Hazardous Materials 5 March 2025 485
Autor:
Liu, Fuyu, Xue, Hui, Kang, Tingshuo, Lei, Qiupei, Chen, Jiazhe, Zuo, Zhihong, Han, Bin, Lu, Xize, Yang, Xiao, Shan, Xiangcheng, Song, Xiaoyang, Zhang, Qingzhe, Yin, Yongguang, Cai, Yong
Publikováno v:
In Journal of Environmental Sciences February 2025 148:116-125
Publikováno v:
Zhejiang dianli, Vol 42, Iss 11, Pp 104-113 (2023)
Given the control perturbations in active distribution networks （ADNs） due to communication anomalies， a flexible load modeling and control method for active distribution networks adapted to non-ideal communication environments is introduced. I
Externí odkaz:
https://doaj.org/article/1e0219996be54a33ba7f5442dc79dae2
Autor:
Song, Xiaoyang, Xia, Boyu, Gao, Xinrong, Liu, Xinying, Lv, Hongyuan, Wang, Shiwei, Xiao, Qinpei, Luo, Hao
Publikováno v:
In Life Sciences 1 April 2024 342