Zobrazeno 1 - 10
of 1 735
pro vyhledávání: '"Liu Yixin"'
Analysis of chloroplast genome characteristics of three medicinal plants of Panax in Qinba Mountains
Publikováno v:
Guangxi Zhiwu, Vol 44, Iss 6, Pp 1138-1150 (2024)
In order to clarify the phylogenetic relationship between the chloroplast genome characteristics of three medicinal plants, Panax japonicus var. major, P. japonicus var. bipinnatifidus, P. pseudoginseng var. elegantior in Qinba Mountains, we analysed
Externí odkaz:
https://doaj.org/article/7d68ccc08c5d45d7abc7f843f985ffe9
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper first constructs an analytical model of platform-based human resource management, where the series of independent variables and the series of dependent variables are grayed out by multiplying each variable by its whiteness at different tim
Externí odkaz:
https://doaj.org/article/91ed01817da74f1f9a7e61b3ccd019ea
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 49, Iss 4, Pp 314-321 (2022)
Objective To investigate the effect of Sema6D knockdown on the proliferation, migration, invasion and angiogenesis-promoting ability of human osteosarcoma cell lines. Methods The expression of Sema6D in clinical tissues and cell lines of human osteos
Externí odkaz:
https://doaj.org/article/00d6ef07112b4322be3ff9563b0be293
Existing benchmarks for evaluating foundation models mainly focus on single-document, text-only tasks. However, they often fail to fully capture the complexity of research workflows, which typically involve interpreting non-textual data and gathering
Externí odkaz:
http://arxiv.org/abs/2411.04075
Many alignment methods, including reinforcement learning from human feedback (RLHF), rely on the Bradley-Terry reward assumption, which is insufficient to capture the full range of general human preferences. To achieve robust alignment with general p
Externí odkaz:
http://arxiv.org/abs/2410.23223
Autor:
Liu, Yixin, Shi, Kejian, Fabbri, Alexander R., Zhao, Yilun, Wang, Peifeng, Wu, Chien-Sheng, Joty, Shafiq, Cohan, Arman
The automatic evaluation of instruction following typically involves using large language models (LLMs) to assess response quality. However, there is a lack of comprehensive evaluation of these LLM-based evaluators across two dimensions: the base LLM
Externí odkaz:
http://arxiv.org/abs/2410.07069
The perturbation analysis of linear solvers applied to systems arising broadly in machine learning settings -- for instance, when using linear regression models -- establishes an important perspective when reframing these analyses through the lens of
Externí odkaz:
http://arxiv.org/abs/2410.00878
This paper investigates the performance of several representative large models in the field of literature recommendation and explores potential biases. The results indicate that while some large models' recommendations can be somewhat satisfactory af
Externí odkaz:
http://arxiv.org/abs/2409.19868
Unsupervised graph representation learning (UGRL) based on graph neural networks (GNNs), has received increasing attention owing to its efficacy in handling graph-structured data. However, existing UGRL methods ideally assume that the node features a
Externí odkaz:
http://arxiv.org/abs/2407.19944
The ubiquity of missing data has sparked considerable attention and focus on tabular data imputation methods. Diffusion models, recognized as the cutting-edge technique for data generation, demonstrate significant potential in tabular data imputation
Externí odkaz:
http://arxiv.org/abs/2407.18013