Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Wang, Yezhaohui"'
Autor:
Zheng, Zifan, Wang, Yezhaohui, Huang, Yuxin, Song, Shichao, Tang, Bo, Xiong, Feiyu, Li, Zhiyu
Since the advent of ChatGPT, Large Language Models (LLMs) have excelled in various tasks but remain largely as black-box systems. Consequently, their development relies heavily on data-driven approaches, limiting performance enhancement through chang
Externí odkaz:
http://arxiv.org/abs/2409.03752
Autor:
Liang, Xun, Wang, Hanyu, Wang, Yezhaohui, Song, Shichao, Yang, Jiawei, Niu, Simin, Hu, Jie, Liu, Dan, Yao, Shunyu, Xiong, Feiyu, Li, Zhiyu
In Natural Language Processing (NLP), Large Language Models (LLMs) have demonstrated high text generation quality. However, in real-world applications, LLMs must meet increasingly complex requirements. Beyond avoiding misleading or inappropriate cont
Externí odkaz:
http://arxiv.org/abs/2408.12599
Autor:
Yu, Xiaomin, Wang, Yezhaohui, Chen, Yanfang, Tao, Zhen, Xi, Dinghao, Song, Shichao, Niu, Simin, Li, Zhiyu
In recent years, generative artificial intelligence models, represented by Large Language Models (LLMs) and Diffusion Models (DMs), have revolutionized content production methods. These artificial intelligence-generated content (AIGC) have become dee
Externí odkaz:
http://arxiv.org/abs/2405.00711
Autor:
Liang, Xun, Song, Shichao, Niu, Simin, Li, Zhiyu, Xiong, Feiyu, Tang, Bo, Wang, Yezhaohui, He, Dawei, Cheng, Peng, Wang, Zhonghao, Deng, Haiying
Large language models (LLMs) have emerged as pivotal contributors in contemporary natural language processing and are increasingly being applied across a diverse range of industries. However, these large-scale probabilistic statistical models cannot
Externí odkaz:
http://arxiv.org/abs/2311.15296