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pro vyhledávání: '"Han, Yudong"'
Autor:
Liu, Kaibo, Liu, Yiyang, Chen, Zhenpeng, Zhang, Jie M., Han, Yudong, Ma, Yun, Li, Ge, Huang, Gang
Conventional automated test generation tools struggle to generate test oracles and tricky bug-revealing test inputs. Large Language Models (LLMs) can be prompted to produce test inputs and oracles for a program directly, but the precision of the test
Externí odkaz:
http://arxiv.org/abs/2404.10304
Federated learning (FL) is an emerging promising paradigm of privacy-preserving machine learning (ML). An important type of FL is cross-silo FL, which enables a small scale of organizations to cooperatively train a shared model by keeping confidentia
Externí odkaz:
http://arxiv.org/abs/2208.00848
Several studies have recently pointed that existing Visual Question Answering (VQA) models heavily suffer from the language prior problem, which refers to capturing superficial statistical correlations between the question type and the answer whereas
Externí odkaz:
http://arxiv.org/abs/2207.11850
Visual Question Answering (VQA) is fundamentally compositional in nature, and many questions are simply answered by decomposing them into modular sub-problems. The recent proposed Neural Module Network (NMN) employ this strategy to question answering
Externí odkaz:
http://arxiv.org/abs/2207.10404
Federated learning (FL) is an emerging promising privacy-preserving machine learning paradigm and has raised more and more attention from researchers and developers. FL keeps users' private data on devices and exchanges the gradients of local models
Externí odkaz:
http://arxiv.org/abs/2201.05286
Publikováno v:
In Construction and Building Materials 19 July 2024 436
Publikováno v:
In Case Studies in Construction Materials December 2024 21
Publikováno v:
In Construction and Building Materials 16 February 2024 416
Publikováno v:
In Cement and Concrete Composites January 2024 145
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