Zobrazeno 1 - 10
of 1 749
pro vyhledávání: '"SUN, XIAOFEI"'
Autor:
Chu, Xiangxiang, Qiao, Limeng, Zhang, Xinyu, Xu, Shuang, Wei, Fei, Yang, Yang, Sun, Xiaofei, Hu, Yiming, Lin, Xinyang, Zhang, Bo, Shen, Chunhua
We introduce MobileVLM V2, a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an improved training scheme tailored for mobile VLMs, and rich high-quality
Externí odkaz:
http://arxiv.org/abs/2402.03766
Autor:
Sun, Xiaofei, Li, Xiaoya, Zhang, Shengyu, Wang, Shuhe, Wu, Fei, Li, Jiwei, Zhang, Tianwei, Wang, Guoyin
A standard paradigm for sentiment analysis is to rely on a singular LLM and makes the decision in a single round under the framework of in-context learning. This framework suffers the key disadvantage that the single-turn output generated by a single
Externí odkaz:
http://arxiv.org/abs/2311.01876
Publikováno v:
Jichu yixue yu linchuang, Vol 44, Iss 11, Pp 1530-1537 (2024)
Objective To investigate the effect of fibroblast growth factor receptor 3 (FGFR3) on articular cartilage superficial zone cells (SPZCs). Methods C57 mice were randomly divided into two groups: a sham operated group (sham group) and a group of surgic
Externí odkaz:
https://doaj.org/article/52b13288f66c43caa9880837c992ef7c
Publikováno v:
Physics in Medicine & Biology 2023
Objective. A phased or a curvilinear array produces ultrasound (US) images with a sector field of view (FOV), which inherently exhibits spatially-varying image resolution with inferior quality in the far zone and towards the two sides azimuthally. Se
Externí odkaz:
http://arxiv.org/abs/2309.00995
Autor:
Zhang, Shengyu, Dong, Linfeng, Li, Xiaoya, Zhang, Sen, Sun, Xiaofei, Wang, Shuhe, Li, Jiwei, Hu, Runyi, Zhang, Tianwei, Wu, Fei, Wang, Guoyin
This paper surveys research works in the quickly advancing field of instruction tuning (IT), which can also be referred to as supervised fine-tuning (SFT)\footnote{In this paper, unless specified otherwise, supervised fine-tuning (SFT) and instructio
Externí odkaz:
http://arxiv.org/abs/2308.10792
Autor:
Sun, Xiaofei, Dong, Linfeng, Li, Xiaoya, Wan, Zhen, Wang, Shuhe, Zhang, Tianwei, Li, Jiwei, Cheng, Fei, Lyu, Lingjuan, Wu, Fei, Wang, Guoyin
Despite the success of ChatGPT, its performances on most NLP tasks are still well below the supervised baselines. In this work, we looked into the causes, and discovered that its subpar performance was caused by the following factors: (1) token limit
Externí odkaz:
http://arxiv.org/abs/2306.09719
Despite the remarkable success of large-scale Language Models (LLMs) such as GPT-3, their performances still significantly underperform fine-tuned models in the task of text classification. This is due to (1) the lack of reasoning ability in addressi
Externí odkaz:
http://arxiv.org/abs/2305.08377
Autor:
Wang, Shuhe, Sun, Xiaofei, Li, Xiaoya, Ouyang, Rongbin, Wu, Fei, Zhang, Tianwei, Li, Jiwei, Wang, Guoyin
Despite the fact that large-scale Language Models (LLM) have achieved SOTA performances on a variety of NLP tasks, its performance on NER is still significantly below supervised baselines. This is due to the gap between the two tasks the NER and LLMs
Externí odkaz:
http://arxiv.org/abs/2304.10428
Autor:
Pan, Wenwen1 (AUTHOR), Sun, Xiaofei2 (AUTHOR) sunxiaofei@uzz.edu.cn, Wang, Yilun1 (AUTHOR), Cao, Yang1 (AUTHOR), Lang, Yizheng1 (AUTHOR), Qian, Yunsheng1 (AUTHOR) yshqian@njust.edu.cn
Publikováno v:
Scientific Reports. 11/2/2024, Vol. 14 Issue 1, p1-15. 15p.