Zobrazeno 1 - 10
of 8 869
pro vyhledávání: '"Feng Ling"'
Autor:
Zhang, Jiajie, Hou, Zhongni, Lv, Xin, Cao, Shulin, Hou, Zhenyu, Niu, Yilin, Hou, Lei, Dong, Yuxiao, Feng, Ling, Li, Juanzi
Though significant advancements have been achieved in developing long-context large language models (LLMs), the compromised quality of LLM-synthesized data for supervised fine-tuning (SFT) often affects the long-context performance of SFT models and
Externí odkaz:
http://arxiv.org/abs/2410.21252
Autor:
Zhang, Jiajie, Bai, Yushi, Lv, Xin, Gu, Wanjun, Liu, Danqing, Zou, Minhao, Cao, Shulin, Hou, Lei, Dong, Yuxiao, Feng, Ling, Li, Juanzi
Though current long-context large language models (LLMs) have demonstrated impressive capacities in answering user questions based on extensive text, the lack of citations in their responses makes user verification difficult, leading to concerns abou
Externí odkaz:
http://arxiv.org/abs/2409.02897
Autor:
Wang, Junya, Zhang, Yi-Jiao, Xu, Cong, Li, Jiaze, Sun, Jiachen, Xie, Jiarong, Feng, Ling, Zhou, Tianshou, Hu, Yanqing
The evolution processes of complex systems carry key information in the systems' functional properties. Applying machine learning algorithms, we demonstrate that the historical formation process of various networked complex systems can be extracted,
Externí odkaz:
http://arxiv.org/abs/2403.14983
Program induction (PI) has become a promising paradigm for using knowledge bases (KBs) to help large language models (LLMs) answer complex knowledge-intensive questions. Nonetheless, PI typically relies on a large number of parallel question-program
Externí odkaz:
http://arxiv.org/abs/2402.01619
Knowledge distillation is one of the methods for model compression, and existing knowledge distillation techniques focus on how to improve the distillation algorithm so as to enhance the distillation efficdiency. This paper introduces dynamic increme
Externí odkaz:
http://arxiv.org/abs/2311.13811
Autor:
Tao Tao, Ming-peng Shi, Bo-yang Tan, Xian-shuai Zhang, Feng-ling Sun, Bao-ren Liu, Shao-jun Li, Zhen-hua Li
Publikováno v:
Systematic Reviews, Vol 13, Iss 1, Pp 1-22 (2024)
Abstract Background Knee osteoarthritis (KOA) has become a public health issue. Several systematic reviews (SRs) and meta-analyses (MAs) indicate that traditional Chinese exercise (TCE) may be an effective treatment for reducing pain and stiffness an
Externí odkaz:
https://doaj.org/article/cc17e4cb72f44a11993017f7719334aa
Autor:
Xiao-Yan Wang, Hong-Wei Deng, Jian Yang, Xue-Mei Zhu, Feng-Ling Xiang, Jing Tu, Ming-Xue Huang, Yun Wang, Jin-Hua Gan, Wei-Hua Yang
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 6, Pp 1128-1137 (2024)
AIM: To figure out whether various atropine dosages may slow the progression of myopia in Chinese kids and teenagers and to determine the optimal atropine concentration for effectively slowing the progression of myopia. METHODS: A systematic search w
Externí odkaz:
https://doaj.org/article/6ef2f89070944d2691429848dbf390c0
Autor:
Le, Nicholas Chong Jia, Feng, Ling
The presence of $1/f$ noise, also known as pink noise, is a well-established phenomenon in biological neural networks, and is thought to play an important role in information processing in the brain. In this study, we find that such $1/f$ noise is al
Externí odkaz:
http://arxiv.org/abs/2301.08530
Federated learning is widely used to perform decentralized training of a global model on multiple devices while preserving the data privacy of each device. However, it suffers from heterogeneous local data on each training device which increases the
Externí odkaz:
http://arxiv.org/abs/2301.05797