Zobrazeno 1 - 10
of 4 829
pro vyhledávání: '"LIU Zhiyuan"'
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 3, Pp 71-81 (2024)
In order to study and expand the application of Inconel718 alloy in high temperature environment, Co/TiN composite coating was prepared on its surface by laser cladding. Meanwhile, the tribological behavior of the coatings at room temperature (RT) an
Externí odkaz:
https://doaj.org/article/3851a2439594470b8528c33b8f8b6631
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Introduction: Due to the need for safety and aesthetics, 10 kV urban power grids are gradually dominated by all-cable lines. However, this trend also brings new challenges. Cables, which are equivalent to capacitors at industrial frequency, are prone
Externí odkaz:
https://doaj.org/article/cc83df2f29fd4126a0f9a9cf0ebba82f
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Rail surface defects present a significant safety concern in railway operations. However, the scarcity of data poses challenges for employing deep learning in defect detection. This study proposes an enhanced ACGAN augmentation method to address thes
Externí odkaz:
https://doaj.org/article/46e2b874b91641deabf6e50da14e11df
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This study investigates the role of non-electrical protective devices in forecasting hazards for large 300Mvar class phase shifter units, which face overvoltage and overcurrent stresses under severe faults, distorting their internal magnetic fields.
Externí odkaz:
https://doaj.org/article/7a3d81723fc34844a23ed8cec62b1635
Publikováno v:
Energy Geoscience, Vol 4, Iss 2, Pp 100063- (2023)
Tight and unconventional reservoirs have become the focus with the progress of petroleum exploration and development. Micro-fractures in these reservoirs can effectively improve reservoir permeability, and well-developed micro-fractures can serve to
Externí odkaz:
https://doaj.org/article/82899d41b4e843098bdd93bc426af027
Autor:
Fan, Shengda, Cong, Xin, Fu, Yuepeng, Zhang, Zhong, Zhang, Shuyan, Liu, Yuanwei, Wu, Yesai, Lin, Yankai, Liu, Zhiyuan, Sun, Maosong
Recent advancements in large language models (LLMs) have driven a revolutionary paradigm shift in process automation from Robotic Process Automation to Agentic Process Automation by automating the workflow orchestration procedure based on LLMs. Howev
Externí odkaz:
http://arxiv.org/abs/2411.05451
Activation sparsity denotes the existence of substantial weakly-contributed elements within activation outputs that can be eliminated, benefiting many important applications concerned with large language models (LLMs). Although promoting greater acti
Externí odkaz:
http://arxiv.org/abs/2411.02335
Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA have significantly improved the adaptation of LLMs to downstream tasks in a resource-efficient manner. However, in multi-task scenarios, challenges such as training imbalance and the seesaw eff
Externí odkaz:
http://arxiv.org/abs/2410.22782
Autor:
Li, Xinze, Mei, Sen, Liu, Zhenghao, Yan, Yukun, Wang, Shuo, Yu, Shi, Zeng, Zheni, Chen, Hao, Yu, Ge, Liu, Zhiyuan, Sun, Maosong, Xiong, Chenyan
Retrieval-Augmented Generation (RAG) has proven its effectiveness in mitigating hallucinations in Large Language Models (LLMs) by retrieving knowledge from external resources. To adapt LLMs for RAG pipelines, current approaches use instruction tuning
Externí odkaz:
http://arxiv.org/abs/2410.13509
Autor:
Lu, Yaxi, Yang, Shenzhi, Qian, Cheng, Chen, Guirong, Luo, Qinyu, Wu, Yesai, Wang, Huadong, Cong, Xin, Zhang, Zhong, Lin, Yankai, Liu, Weiwen, Wang, Yasheng, Liu, Zhiyuan, Liu, Fangming, Sun, Maosong
Agents powered by large language models have shown remarkable abilities in solving complex tasks. However, most agent systems remain reactive, limiting their effectiveness in scenarios requiring foresight and autonomous decision-making. In this paper
Externí odkaz:
http://arxiv.org/abs/2410.12361