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pro vyhledávání: '"Ren Tonghui"'
Natural Language Interfaces for Databases empower non-technical users to interact with data using natural language (NL). Advanced approaches, utilizing either neural sequence-to-sequence or more recent sophisticated large-scale language models, typic
Externí odkaz:
http://arxiv.org/abs/2411.02948
Autor:
Ren, Tonghui, Fan, Yuankai, He, Zhenying, Huang, Ren, Dai, Jiaqi, Huang, Can, Jing, Yinan, Zhang, Kai, Yang, Yifan, Wang, X. Sean
Large Language Model (LLM) techniques play an increasingly important role in Natural Language to SQL (NL2SQL) translation. LLMs trained by extensive corpora have strong natural language understanding and basic SQL generation abilities without additio
Externí odkaz:
http://arxiv.org/abs/2403.20014
The Natural Language Interface to Databases (NLIDB) empowers non-technical users with database access through intuitive natural language (NL) interactions. Advanced approaches, utilizing neural sequence-to-sequence models or large-scale language mode
Externí odkaz:
http://arxiv.org/abs/2402.17144
Autor:
Fan, Yuankai, Ren, Tonghui, Huang, Can, Zheng, Beini, Jing, Yinan, He, Zhenying, Li, Jinbao, Li, Jianxin
Publikováno v:
In Knowledge-Based Systems 20 December 2024 306
Publikováno v:
2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
In recent years, due to climate warming, changes in agricultural ecological environment and changes in planting structure, farming system, planting varieties, production methods and production conditions, the living and epidemic conditions of some pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6ec8b13f7a7f6318f651caab47605ef
https://doi.org/10.1109/ihmsc.2019.00082
https://doi.org/10.1109/ihmsc.2019.00082