Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Li Liyao"'
Autor:
Su, Aofeng, Wang, Aowen, Ye, Chao, Zhou, Chen, Zhang, Ga, Chen, Gang, Zhu, Guangcheng, Wang, Haobo, Xu, Haokai, Chen, Hao, Li, Haoze, Lan, Haoxuan, Tian, Jiaming, Yuan, Jing, Zhao, Junbo, Zhou, Junlin, Shou, Kaizhe, Zha, Liangyu, Long, Lin, Li, Liyao, Wu, Pengzuo, Zhang, Qi, Huang, Qingyi, Yang, Saisai, Zhang, Tao, Ye, Wentao, Zhu, Wufang, Hu, Xiaomeng, Gu, Xijun, Sun, Xinjie, Li, Xiang, Yang, Yuhang, Xiao, Zhiqing
The emergence of models like GPTs, Claude, LLaMA, and Qwen has reshaped AI applications, presenting vast new opportunities across industries. Yet, the integration of tabular data remains notably underdeveloped, despite its foundational role in numero
Externí odkaz:
http://arxiv.org/abs/2411.02059
This study investigates the potential of Large Language Models (LLMs) for reconstructing and constructing the physical world solely based on textual knowledge. It explores the impact of model performance on spatial understanding abilities. To enhance
Externí odkaz:
http://arxiv.org/abs/2410.17529
The rapid advancements of Large Language Models (LLMs) tightly associate with the expansion of the training data size. However, the unchecked ultra-large-scale training sets introduce a series of potential risks like data contamination, i.e. the benc
Externí odkaz:
http://arxiv.org/abs/2405.11930
Autor:
Zha, Liangyu, Zhou, Junlin, Li, Liyao, Wang, Rui, Huang, Qingyi, Yang, Saisai, Yuan, Jing, Su, Changbao, Li, Xiang, Su, Aofeng, Zhang, Tao, Zhou, Chen, Shou, Kaizhe, Wang, Miao, Zhu, Wufang, Lu, Guoshan, Ye, Chao, Ye, Yali, Ye, Wentao, Zhang, Yiming, Deng, Xinglong, Xu, Jie, Wang, Haobo, Chen, Gang, Zhao, Junbo
Tables are prevalent in real-world databases, requiring significant time and effort for humans to analyze and manipulate. The advancements in large language models (LLMs) have made it possible to interact with tables using natural language input, bri
Externí odkaz:
http://arxiv.org/abs/2307.08674
Tabular data pervades the landscape of the World Wide Web, playing a foundational role in the digital architecture that underpins online information. Given the recent influence of large-scale pretrained models like ChatGPT and SAM across various doma
Externí odkaz:
http://arxiv.org/abs/2307.04308
Our paper discovers a new trade-off of using regression adjustments (RAs) in causal inference under covariate-adaptive randomizations (CARs). On one hand, RAs can improve the efficiency of causal estimators by incorporating information from covariate
Externí odkaz:
http://arxiv.org/abs/2304.08184
Publikováno v:
In Computer Networks December 2024 254
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Yuanzineng kexue jishu, Vol 57, Iss 6, Pp 1099-1110 (2023)
Numerical simulation is an important method to determine the leaching range in the process of in-situ uranium mining, and the permeability coefficient is an important factor affecting the accurate calculation of leaching range by numerical simulation
Externí odkaz:
https://doaj.org/article/92135f7335d14c1bb6a303d17a1e374c
Publikováno v:
In Journal of the Energy Institute December 2023 111