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of 1 060
pro vyhledávání: '"LI, MINGXIN"'
Text embeddings are vital for tasks such as text retrieval and semantic textual similarity (STS). Recently, the advent of pretrained language models, along with unified benchmarks like the Massive Text Embedding Benchmark (MTEB), has facilitated the
Externí odkaz:
http://arxiv.org/abs/2410.15035
Sentence Representation Learning (SRL) is a crucial task in Natural Language Processing (NLP), where contrastive Self-Supervised Learning (SSL) is currently a mainstream approach. However, the reasons behind its remarkable effectiveness remain unclea
Externí odkaz:
http://arxiv.org/abs/2402.18281
Sentence Representation Learning (SRL) is a fundamental task in Natural Language Processing (NLP), with the Contrastive Learning of Sentence Embeddings (CSE) being the mainstream technique due to its superior performance. An intriguing phenomenon in
Externí odkaz:
http://arxiv.org/abs/2309.06453
Unmanned warehouses are an important part of logistics, and improving their operational efficiency can effectively enhance service efficiency. However, due to the complexity of unmanned warehouse systems and their susceptibility to errors, incidents
Externí odkaz:
http://arxiv.org/abs/2305.18119
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 8, Pp 1200-1206 (2024)
AIM:To establish a model of meibomian gland dysfunction in rats induced by eyeliner tattoo and investigate its potential mechanisms.METHODS:A total of 40 SD rats were selected, with 30 randomly chosen to have eyeliner tattoo applied their right eyes
Externí odkaz:
https://doaj.org/article/7d9b483644484fd7bb0d4d60463b29f2
Autor:
Zhang, Jixing, Liu, Tianzheng, Xia, Sigang, Bian, Guodong, Fan, Pengcheng, Li, Mingxin, Wang, Sixian, Li, Xiangyun, Zhang, Chen, Zhang, Shaoda, Yuan, Heng
In this work, to improve the spin readout efficiency of the nitrogen vacancy (NV) center, a real-time Bayesian estimation algorithm is proposed, which combines both the prior probability distribution and the fluorescence likelihood function establish
Externí odkaz:
http://arxiv.org/abs/2302.06310
The deep convolutional neural networks (CNNs) using attention mechanism have achieved great success for dynamic scene deblurring. In most of these networks, only the features refined by the attention maps can be passed to the next layer and the atten
Externí odkaz:
http://arxiv.org/abs/2206.11476
Autor:
Guo, Yibo, Hou, Lishuo, Li, Mingxin, Yuan, Yue, Liu, Shun, Xue, Jingyi, Han, Yafang, Xu, Mingliang
In recent years, human casualties and damage to resources caused by emergent incidents have become a serious problem worldwide. In this paper, we model the emergency decision-making problem and use Multi-agent System (MAS) to solve the problem that t
Externí odkaz:
http://arxiv.org/abs/2203.12673
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500
Publikováno v:
In Biosensors and Bioelectronics 1 November 2024 263