Zobrazeno 1 - 10
of 653
pro vyhledávání: '"Liu, Fangchao"'
Large language models (LLMs) have gained significant attention in various fields but prone to hallucination, especially in knowledge-intensive (KI) tasks. To address this, retrieval-augmented generation (RAG) has emerged as a popular solution to enha
Externí odkaz:
http://arxiv.org/abs/2402.01176
Autor:
Jiang, Hui, Zhang, Guolong, Yin, Jinfeng, Zhao, Dongyang, Liu, Fangchao, Yao, Yuxia, Cai, Chao, Xu, Jiying, Li, Xinwei, Xu, Wangli, Li, Weimin
Publikováno v:
JMIR Public Health and Surveillance, Vol 7, Iss 1, p e24830 (2021)
BackgroundIn 2005, China established an internet-based Tuberculosis Information Management System (TBIMS) to monitor changes in tuberculosis (TB). Many scholars have conducted epidemiological research using TBIMS; however, few studies assessing contr
Externí odkaz:
https://doaj.org/article/28915ab280d648dc85c54f5e1206756f
Recently, generative retrieval emerges as a promising alternative to traditional retrieval paradigms. It assigns each document a unique identifier, known as DocID, and employs a generative model to directly generate the relevant DocID for the input q
Externí odkaz:
http://arxiv.org/abs/2305.13859
Low-shot relation extraction~(RE) aims to recognize novel relations with very few or even no samples, which is critical in real scenario application. Few-shot and zero-shot RE are two representative low-shot RE tasks, which seem to be with similar ta
Externí odkaz:
http://arxiv.org/abs/2203.12274
Prompt-based probing has been widely used in evaluating the abilities of pretrained language models (PLMs). Unfortunately, recent studies have discovered such an evaluation may be inaccurate, inconsistent and unreliable. Furthermore, the lack of unde
Externí odkaz:
http://arxiv.org/abs/2203.12258
Autor:
Li, YunSong, Wang, Heng, Wang, Chunmao, Zhang, Li, Gong, Changfan, Yan, Dongjie, Liu, Fangchao, Ruan, Hongyun
Publikováno v:
In Journal of Surgical Research July 2024 299:282-289
Autor:
Qiu, Chunlan, Li, Wanxia, Ping, Zhang, Feng, Wei, Zhao, Li, Liu, Fangchao, Liang, Fengchao, Huang, Keyong, An, Xizhou, Xin, Chen, Liang, Xiaohua
Publikováno v:
In Clinical Epidemiology and Global Health May-June 2024 27
Open relation extraction aims to cluster relation instances referring to the same underlying relation, which is a critical step for general relation extraction. Current OpenRE models are commonly trained on the datasets generated from distant supervi
Externí odkaz:
http://arxiv.org/abs/2106.09558
Autor:
Jia, Yanhui, He, Zhi, Liu, Fangchao, Li, Jianxin, Liang, Fengchao, Huang, Keyong, Chen, Jichun, Cao, Jie, Li, Hongfan, Shen, Chong, Yu, Ling, Liu, Xiaoqing, Hu, Dongsheng, Huang, Jianfeng, Zhao, Yingxin, Liu, Yang, Lu, Xiangfeng, Gu, Dongfeng, Chen, Shufeng
Publikováno v:
In Environment International April 2024 186
Autor:
Jia, Jiajing, Yang, Ying, Liu, Fangchao, Chen, Shuohua, Deng, Yuzhi, Guo, Tonglei, Peng, Zuoqi, Wang, Xingyu, Ma, Xu, Wu, Shouling
Publikováno v:
In American Journal of Preventive Cardiology March 2024 17