Zobrazeno 1 - 10
of 593
pro vyhledávání: '"Cao Zhao"'
Publikováno v:
Liang you shipin ke-ji, Vol 31, Iss 6, Pp 21-28 (2023)
A fast analytical protocol for the simultaneous analysis of As(Ⅲ), As(Ⅴ), DMA and MMA in purple rice, red rice and common brown rice was established based on liquid chromatography-atomic fluorescence spectrometry. For the first time, three mobile
Externí odkaz:
https://doaj.org/article/0972dc66fa724291806c1dda4e06a84b
Publikováno v:
Liang you shipin ke-ji, Vol 31, Iss 6, Pp 20-27 (2023)
A detection method for five selenium species in Se-enriched rice was established using HPLC-ICP MS/MS. The ion pair concentration of mobile phase, elution salt concentration, pH value were optimized by using a reverse C18 chromatographic column, and
Externí odkaz:
https://doaj.org/article/51985f06c74649f191996e1a094595d1
Autor:
Chen, Wentong, Lin, Yankai, Zhou, ZhenHao, Huang, HongYun, Jia, Yantao, Cao, Zhao, Wen, Ji-Rong
In-Context Learning (ICL) is a critical capability of Large Language Models (LLMs) as it empowers them to comprehend and reason across interconnected inputs. Evaluating the ICL ability of LLMs can enhance their utilization and deepen our understandin
Externí odkaz:
http://arxiv.org/abs/2406.14955
Autor:
Liu, Qi, Guo, Gang, Mao, Jiaxin, Dou, Zhicheng, Wen, Ji-Rong, Jiang, Hao, Zhang, Xinyu, Cao, Zhao
With the development of pre-trained language models, the dense retrieval models have become promising alternatives to the traditional retrieval models that rely on exact match and sparse bag-of-words representations. Different from most dense retriev
Externí odkaz:
http://arxiv.org/abs/2403.13291
Autor:
Lin, Jiayu, Ye, Rong, Han, Meng, Zhang, Qi, Lai, Ruofei, Zhang, Xinyu, Cao, Zhao, Huang, Xuanjing, Wei, Zhongyu
Counter-argument generation -- a captivating area in computational linguistics -- seeks to craft statements that offer opposing views. While most research has ventured into paragraph-level generation, sentence-level counter-argument generation beckon
Externí odkaz:
http://arxiv.org/abs/2312.13608
Autor:
Liang, Jingcong, Ye, Rong, Han, Meng, Zhang, Qi, Lai, Ruofei, Zhang, Xinyu, Cao, Zhao, Huang, Xuanjing, Wei, Zhongyu
The knowledge graph is a structure to store and represent knowledge, and recent studies have discussed its capability to assist language models for various applications. Some variations of knowledge graphs aim to record arguments and their relations
Externí odkaz:
http://arxiv.org/abs/2312.00874
Autor:
Qian, Hongjin, Dou, Zhicheng, Tan, Jiejun, Chen, Haonan, Gu, Haoqi, Lai, Ruofei, Zhang, Xinyu, Cao, Zhao, Wen, Ji-Rong
Language models (LMs) have revolutionized the way we interact with information, but they often generate nonfactual text, raising concerns about their reliability. Previous methods use external knowledge as references for text generation to enhance fa
Externí odkaz:
http://arxiv.org/abs/2308.15711
Conversational recommender systems (CRS) aim to provide the recommendation service via natural language conversations. To develop an effective CRS, high-quality CRS datasets are very crucial. However, existing CRS datasets suffer from the long-tail i
Externí odkaz:
http://arxiv.org/abs/2307.11650
Autor:
Ai, Qingyao, Bai, Ting, Cao, Zhao, Chang, Yi, Chen, Jiawei, Chen, Zhumin, Cheng, Zhiyong, Dong, Shoubin, Dou, Zhicheng, Feng, Fuli, Gao, Shen, Guo, Jiafeng, He, Xiangnan, Lan, Yanyan, Li, Chenliang, Liu, Yiqun, Lyu, Ziyu, Ma, Weizhi, Ma, Jun, Ren, Zhaochun, Ren, Pengjie, Wang, Zhiqiang, Wang, Mingwen, Wen, Ji-Rong, Wu, Le, Xin, Xin, Xu, Jun, Yin, Dawei, Zhang, Peng, Zhang, Fan, Zhang, Weinan, Zhang, Min, Zhu, Xiaofei
The research field of Information Retrieval (IR) has evolved significantly, expanding beyond traditional search to meet diverse user information needs. Recently, Large Language Models (LLMs) have demonstrated exceptional capabilities in text understa
Externí odkaz:
http://arxiv.org/abs/2307.09751
Conversational search has been regarded as the next-generation search paradigm. Constrained by data scarcity, most existing methods distill the well-trained ad-hoc retriever to the conversational retriever. However, these methods, which usually initi
Externí odkaz:
http://arxiv.org/abs/2307.00569