Zobrazeno 1 - 10
of 117
pro vyhledávání: '"ZHANG Qian-Wen"'
Autor:
LIU Hui-ming, ZHANG Qian-wen
Publikováno v:
Liang you shipin ke-ji, Vol 30, Iss 2, Pp 161-166 (2022)
Food safety is closely related to life and health, and the issues of food safety are related to people’s livelihood plan. Although the legal system of food safety in China has been gradually improved and the system of punitive damages has been esta
Externí odkaz:
https://doaj.org/article/3140b9ab5731412286d1e33e103367a1
Autor:
Zhang, Qian-Wen, Wang, Haochen, Li, Fang, An, Siyu, Qiao, Lingfeng, Gao, Liangcai, Yin, Di, Sun, Xing
Online education platforms have significantly transformed the dissemination of educational resources by providing a dynamic and digital infrastructure. With the further enhancement of this transformation, the advent of Large Language Models (LLMs) ha
Externí odkaz:
http://arxiv.org/abs/2409.16202
Large language models (LLMs) have become powerful tools for advancing natural language processing applications in the financial industry. However, existing financial LLMs often face challenges such as hallucinations or superficial parameter training,
Externí odkaz:
http://arxiv.org/abs/2408.02302
Autor:
Yu Xu, Yu Cheng, Lin-Lin Zhang, Cui Hu, Fei-Xue Xue, Ya Jia, Qin Zhao-Juan, Du Yi, Zhang Qian-Wen, He Yue-Dong, Zheng Ai
Publikováno v:
BMJ Open, Vol 11, Iss 1 (2021)
Introduction Uterine serous carcinoma accounts for only about 10% of all endometrial cancers but this subtype is the most common amongst non-endometrioid endometrium cancers and contributes to more than half of recurrence and deaths attributed to end
Externí odkaz:
https://doaj.org/article/2399fbc8d6ef4d8882c229df6bd57f01
Autor:
Wang, Bing, Ren, Changyu, Yang, Jian, Liang, Xinnian, Bai, Jiaqi, Chai, Linzheng, Yan, Zhao, Zhang, Qian-Wen, Yin, Di, Sun, Xing, Li, Zhoujun
Recent LLM-based Text-to-SQL methods usually suffer from significant performance degradation on "huge" databases and complex user questions that require multi-step reasoning. Moreover, most existing methods neglect the crucial significance of LLMs ut
Externí odkaz:
http://arxiv.org/abs/2312.11242
Autor:
Chai, Linzheng, Xiao, Dongling, Yang, Jian, Yang, Liqun, Zhang, Qian-Wen, Cao, Yunbo, Li, Zhoujun, Yan, Zhao
Context-dependent Text-to-SQL aims to translate multi-turn natural language questions into SQL queries. Despite various methods have exploited context-dependence information implicitly for contextual SQL parsing, there are few attempts to explicitly
Externí odkaz:
http://arxiv.org/abs/2305.06655
Context-dependent text-to-SQL is the task of translating multi-turn questions into database-related SQL queries. Existing methods typically focus on making full use of history context or previously predicted SQL for currently SQL parsing, while negle
Externí odkaz:
http://arxiv.org/abs/2205.07686
Autor:
Sui, Xin a, Zhu, Qin-Yu a, Zhao, Chen-Yang a, Zhang, Qian-Wen a, Gao, Xu-Sheng a, ⁎, Ren, Xiao-Ming a, b, c
Publikováno v:
In Polyhedron 1 November 2024 262
In multi-label text classification (MLTC), each given document is associated with a set of correlated labels. To capture label correlations, previous classifier-chain and sequence-to-sequence models transform MLTC to a sequence prediction task. Howev
Externí odkaz:
http://arxiv.org/abs/2106.03103
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