Results 131 to 140 of about 9,267 (223)

Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL [PDF]

Qifeng Cai, Liang Hao, Chang Xu, Tao Xie, Wentao Zhang, Bin Cui   +5 more
openalex   +1 more source

DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models

Large language models (LLMs) becomes the dominant paradigm for the challenging task of text-to-SQL. LLM-empowered text-to-SQL methods are typically categorized into prompting-based and tuning approaches.
Chen, Faqiang, Chu, Zhixuan, Jiang, Caigai, Jiang, Gangwei, Qi, Danrui, Shi, Wenhui, Wei, Ganglin, Xue, Siqiao, Zhang, Hongyang, Zhao, Wang, Zhou, Fan   +10 more
core  

STRATEGIC CONSIDERATIONS FOR DATABASE SYSTEMS: POSTGRESQL VS. MICROSOFT SQL SERVER

Автоматизация технологических и бизнес-процессов
In this paper, we conducted a comprehensive study of two leading relational database management systems: Microsoft SQL Server and PostgreSQL, representing commercial and open-source software development models respectively.
R. О. Popov, V. V. Gerasimov
doaj   +1 more source

A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges [PDF]

Aditi Singh, Akash Shetty, Abul Ehtesham, Saket Kumar, Tala Talaei Khoei   +4 more
openalex   +1 more source

Controllable Data Augmentation for Context-Dependent Text-to-SQL [PDF]

, 2023
Dingzirui Wang, Longxu Dou, Wanxiang Che
openalex   +1 more source

Domain-Specific Few-Shot Table Prompt Question Answering via Contrastive Exemplar Selection

Algorithms
As a crucial task in natural language processing, table question answering has garnered significant attention from both the academic and industrial communities.
Tianjin Mo, Qiao Xiao, Hongyi Zhang, Ren Li, Yunsong Wu   +4 more
doaj   +1 more source

EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records

In this paper, we introduce EHR-SeqSQL, a novel sequential text-to-SQL dataset for Electronic Health Record (EHR) databases. EHR-SeqSQL is designed to address critical yet underexplored aspects in text-to-SQL parsing: interactivity, compositionality, and
Cho, Seonhee, Choi, Edward, Lee, Gyubok, Ryu, Jaehee   +3 more
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IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation [PDF]

, 2020
Yitao Cai, Xiaojun Wan
openalex   +1 more source

BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions [PDF]

Nan Huo, Xiangyu Xu, Jinyang Li, Per Jacobsson, Shih-Yen Lin, Bowen Qin, Binyuan Hui, Xiaolong Li, Ge Qu, Shuzheng Si, Ling Han, Edward Alexander, Xintong Zhu, Rui Qin, Ri Yu, Yong Jin, Fang Zhou, Weihao Zhong, Yun Chen, Hongyu Liu, Chenhao Ma, Fatma Özcan, Yannis Papakonstantinou, Reynold Cheng   +23 more
openalex   +1 more source

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Generating accurate SQL queries for user questions (text-to-SQL) has been a long-standing challenge since it requires a deep understanding of both the user's question and the corresponding database schema in order to retrieve the desired content ...
Chen, Hao, Hong, Zijin, Huang, Feiran, Huang, Xiao, Yuan, Zheng, Zhang, Qinggang   +5 more
core