Results 41 to 50 of about 8,163 (222)
Semantic Decomposition of Question and SQL for Text-to-SQL Parsing
Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 Text-to-SQL semantic parsing faces challenges in generalizing to cross-domain and complex queries. Recent research has employed a question decomposition strategy to enhance the parsing of complex SQL queries. However, this strategy encounters two major obstacles: (1) existing datasets lack question decomposition; (2) due to the syntactic complexity of ...
Eyal, Ben +4 more
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TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
Materials Genome Engineering Advances, EarlyView.TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
, 2023 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 utilizing external tools and model collaboration.
Wang, Bing +10 more
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Sustainable Development, EarlyView.ABSTRACT The transition to affordable and clean energy sources is essential for creating a sustainable future. Green hydrogen, as an emerging energy carrier, has the potential to meet increasing energy demands while mitigating environmental impact and achieving SDG 7.
A. Telukdarie, K. Murulane, X. Maphisa
wiley +1 more source
Columns Occurrences Graph to Improve Column Prediction in Deep Learning Nlidb
Applied Sciences, 2021 Natural language interfaces to databases (NLIDB) has been a research topic for a decade. Significant data collections are available in the form of databases. To utilize them for research purposes, a system that can translate a natural language query into
Shanza Abbas +3 more
doaj +1 more source
Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT -- A Text-to-SQL Parsing Comparison [PDF]
, 2023 Shuo Sun +6 more
openalex +1 more source
Frequency and risk factors for tail injuries in UK dogs under primary veterinary care
Veterinary Record, EarlyView.Abstract Background Tail injuries in dogs can severely impact welfare and pose clinical challenges. This study aimed to describe the annual incidence and clinical management of tail injury in UK dogs under primary care and identify risk factors. Methods A nested case‒control design was used within a cohort of dogs under primary care in the UK in 2019 ...
Camilla Pegram +4 more
wiley +1 more source
TURSpider: A Turkish Text-to-SQL Dataset and LLM-Based Study
IEEE AccessThis paper introduces TURSpider, a novel Turkish Text-to-SQL dataset developed through human translation of the widely used Spider dataset, aimed at addressing the current lack of complex, cross-domain SQL datasets for the Turkish language.
Ali Bugra Kanburoglu, Faik Boray Tek
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Enhanced Natural Language Interface for Web-Based Information Retrieval
IEEE Access, 2021 Database application is at the core of most web application systems such as web-based email, source codes repository management, public scientific data repository management, news portals, and publication repository of various fields.
Tian Bai +4 more
doaj +1 more source
XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL [PDF]
To leverage the advantages of LLM in addressing challenges in the Text-to-SQL task, we present XiYan-SQL, an innovative framework effectively generating and utilizing multiple SQL candidates. It consists of three components: 1) a Schema Filter module filtering and obtaining multiple relevant schemas; 2) a multi-generator ensemble approach generating ...
Yifu Liu +10 more
openalex +3 more sources