Zobrazeno 1 - 10
of 1 099
pro vyhledávání: '"Li Yitong"'
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 44, Iss 4, Pp 357-373 (2024)
ObjectiveThis study analyzes the omics data resources in human-infecting coronavirus animal models collected from various public databases, focusing on data distribution, dataset quantity, data types, species, strains, and research content. It aims t
Externí odkaz:
https://doaj.org/article/36466d4af5f64029afc3e8c4296fab6b
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 44, Iss 1, Pp 62-73 (2024)
ObjectiveTo provide more basic information of comparative medicine for the study of biological changes and pathogenesis of COVID-19 by systematical sorting and analyzing the transcriptome data. Methods Following a retrieval strategy, using COVID-19 a
Externí odkaz:
https://doaj.org/article/57a6c64c37f54073aeb620e7c7dda2e9
Autor:
Fan Minghao, Chen Zhenmei, Shao Weiqing, Chen Yiran, Lin Zhifei, Yi Chenhe, Li Yitong, Lu Lu, Zhou Yu, Lin Jing
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 1479-1486 (2023)
Lenvatinib has become the first-line therapy in advanced hepatocellular carcinoma (HCC), but its efficacy is still limited because of the inevitable development of resistance. It has been reported that cellular cholesterol levels are associated with
Externí odkaz:
https://doaj.org/article/c8152fbb42d747aa8d119a400a3af4bc
Autor:
Lu, Haoran, Wu, Ruihai, Li, Yitong, Li, Sijie, Zhu, Ziyu, Ning, Chuanruo, Shen, Yan, Luo, Longzan, Chen, Yuanpei, Dong, Hao
Manipulating garments and fabrics has long been a critical endeavor in the development of home-assistant robots. However, due to complex dynamics and topological structures, garment manipulations pose significant challenges. Recent successes in reinf
Externí odkaz:
http://arxiv.org/abs/2411.01200
Diagnosing dementia, particularly for Alzheimer's Disease (AD) and frontotemporal dementia (FTD), is complex due to overlapping symptoms. While magnetic resonance imaging (MRI) and positron emission tomography (PET) data are critical for the diagnosi
Externí odkaz:
http://arxiv.org/abs/2410.23219
Observation of quantum information collapse-and-revival in a strongly-interacting Rydberg atom array
Autor:
Xiang, De-Sheng, Zhang, Yao-Wen, Liu, Hao-Xiang, Zhou, Peng, Yuan, Dong, Zhang, Kuan, Zhang, Shun-Yao, Xu, Biao, Liu, Lu, Li, Yitong, Li, Lin
Interactions of isolated quantum many-body systems typically scramble local information into the entire system and make it unrecoverable. Ergodicity-breaking systems possess the potential to exhibit fundamentally different information scrambling dyna
Externí odkaz:
http://arxiv.org/abs/2410.15455
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning
Mathematical reasoning has been a challenging aspect of large language models (LLMs). However, the introduction of step-by-step Chain-of-Thought (CoT) inference has significantly advanced the mathematical capabilities of LLMs. Despite this progress,
Externí odkaz:
http://arxiv.org/abs/2410.19817
Autor:
Xu, Yang, Feng, Yunlong, Mu, Honglin, Hou, Yutai, Li, Yitong, Wang, Xinghao, Zhong, Wanjun, Li, Zhongyang, Tu, Dandan, Zhu, Qingfu, Zhang, Min, Che, Wanxiang
Through reading the documentation in the context, tool-using language models can dynamically extend their capability using external tools. The cost is that we have to input lengthy documentation every time the model needs to use the tool, occupying t
Externí odkaz:
http://arxiv.org/abs/2407.02043
Diffusion-based models have achieved notable empirical successes in reinforcement learning (RL) due to their expressiveness in modeling complex distributions. Despite existing methods being promising, the key challenge of extending existing methods f
Externí odkaz:
http://arxiv.org/abs/2406.16121
Autor:
Deng, Chunyuan, Zhao, Yilun, Heng, Yuzhao, Li, Yitong, Cao, Jiannan, Tang, Xiangru, Cohan, Arman
Data contamination has garnered increased attention in the era of large language models (LLMs) due to the reliance on extensive internet-derived training corpora. The issue of training corpus overlap with evaluation benchmarks--referred to as contami
Externí odkaz:
http://arxiv.org/abs/2406.14644