Zobrazeno 1 - 10
of 2 688
pro vyhledávání: '"Wang Yixin"'
Publikováno v:
口腔疾病防治, Vol 31, Iss 9, Pp 618-624 (2023)
Objective To investigate the effect of erythropoietin producing hepatocyte kinase receptor ligand B2-erythropoietin producing hepatocyte kinase receptor B4 (EphrinB2/EphB4) on the osteogenic differentiation of MC3T3-E1 cells in a hypoxic environment
Externí odkaz:
https://doaj.org/article/ece7909b3e39458e88e0e474bd9b0642
Publikováno v:
Zhejiang dianli, Vol 42, Iss 1, Pp 31-38 (2023)
The accurate quantification of transmission limit and grid strength of the multi-infeed LCC-HVDC （line-commutated converter technology-based high-voltage DC） and VSC-HVDC （voltage source converter technology-based high-voltage DC） systems has
Externí odkaz:
https://doaj.org/article/974b2cb44fef4cb3a127bb15630000a1
Aligning Large Language Models (LLMs) with diverse human preferences is a pivotal technique for controlling model behaviors and enhancing generation quality. Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), and
Externí odkaz:
http://arxiv.org/abs/2410.04346
Many longitudinal neuroimaging studies aim to improve the understanding of brain aging and diseases by studying the dynamic interactions between brain function and cognition. Doing so requires accurate encoding of their multidimensional relationship
Externí odkaz:
http://arxiv.org/abs/2409.13887
Autor:
Li, Binxu, Yan, Tiankai, Pan, Yuanting, Luo, Jie, Ji, Ruiyang, Ding, Jiayuan, Xu, Zhe, Liu, Shilong, Dong, Haoyu, Lin, Zihao, Wang, Yixin
Multi-Modal Large Language Models (MLLMs), despite being successful, exhibit limited generality and often fall short when compared to specialized models. Recently, LLM-based agents have been developed to address these challenges by selecting appropri
Externí odkaz:
http://arxiv.org/abs/2407.02483
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 47, Iss 4, Pp 298-302 (2020)
Objective To observe the short-term clinical effect and total survival of advanced hepatocellular carcinoma patients treated with PD-1. Methods We retrospectively analyzed the clinical data of 48 patients with advanced hepatocellular carcinoma treate
Externí odkaz:
https://doaj.org/article/29bd4538a058459fbebdbdd3322f80d6
"Accuracy-on-the-line" is a widely observed phenomenon in machine learning, where a model's accuracy on in-distribution (ID) and out-of-distribution (OOD) data is positively correlated across different hyperparameters and data configurations. But whe
Externí odkaz:
http://arxiv.org/abs/2406.19049
Autor:
Chen, Linqing, Wang, Weilei, Bai, Zilong, Xu, Peng, Fang, Yan, Fang, Jie, Wu, Wentao, Zhou, Lizhi, Zhang, Ruiji, Xia, Yubin, Xu, Chaobo, Hu, Ran, Xu, Licong, Cai, Qijun, Hua, Haoran, Sun, Jing, Liu, Jin, Qiu, Tian, Liu, Haowen, Hu, Meng, Li, Xiuwen, Gao, Fei, Wang, Yufu, Tie, Lin, Wang, Chaochao, Lu, Jianping, Sun, Cheng, Wang, Yixin, Yang, Shengjie, Li, Yuancheng, Jin, Lu, Zhang, Lisha, Bian, Fu, Ye, Zhongkai, Pei, Lidong, Tu, Changyang
Large language models (LLMs) have revolutionized Natural Language Processing (NLP) by minimizing the need for complex feature engineering. However, the application of LLMs in specialized domains like biopharmaceuticals and chemistry remains largely u
Externí odkaz:
http://arxiv.org/abs/2406.18045
Causal discovery in time series is a rapidly evolving field with a wide variety of applications in other areas such as climate science and neuroscience. Traditional approaches assume a stationary causal graph, which can be adapted to nonstationary ti
Externí odkaz:
http://arxiv.org/abs/2406.17698
Recent work shows that causal facts can be effectively extracted from LLMs through prompting, facilitating the creation of causal graphs for causal inference tasks. However, it is unclear if this success is limited to explicitly-mentioned causal fact
Externí odkaz:
http://arxiv.org/abs/2406.12158