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pro vyhledávání: '"Huang, Xiutian"'
Currently, the integration of mobile Graphical User Interfaces (GUIs) is ubiquitous in most people's daily lives. And the ongoing evolution of multimodal large-scale models, such as GPT-4v, Qwen-VL-Max, has significantly bolstered the capabilities of
Externí odkaz:
http://arxiv.org/abs/2407.04346
Autor:
Li, Yu, Zhang, Shenyu, Wu, Rui, Huang, Xiutian, Chen, Yongrui, Xu, Wenhao, Qi, Guilin, Min, Dehai
Recent advancements in generative Large Language Models(LLMs) have been remarkable, however, the quality of the text generated by these models often reveals persistent issues. Evaluating the quality of text generated by these models, especially in op
Externí odkaz:
http://arxiv.org/abs/2403.19305
Automatic methods for evaluating machine-generated texts hold significant importance due to the expanding applications of generative systems. Conventional methods tend to grapple with a lack of explainability, issuing a solitary numerical score to si
Externí odkaz:
http://arxiv.org/abs/2403.11509
Publikováno v:
Mathematical Problems in Engineering.
With the rapid development and application of CRFs (Conditional Random Fields) in computer vision, many researchers have made some outstanding progress in this domain because CRFs solve the classical version of the label bias problem with respect to