Search Results - Text2SQL*

LI-EMRSQL: Linking Information Enhanced Text2SQL Parsing on Complex Electronic Medical Records by Li, Qing, You, Tao, Chen, Jinchao, Zhang, Ying, Du, Chenglie

“… terminology through semantic parsing. A major challenge is designing a versatile Text2SQL parser applicable to new database…”
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LR-SQL: A Supervised Fine-Tuning Method for Text2SQL Tasks Under Low-Resource Scenarios by Wen, Wuzhenghong, Zhang, Yongpan, Pan, Su, Sun, Yuwei, Lu, Pengwei, Ding, Cheng

“…In supervised fine-tuning (SFT) for Text2SQL tasks, particularly for databases with numerous tables, encoding schema features requires excessive tokens, escalating GPU resource requirements during fine-tuning…”
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M-SQL: Multi-task Representation Learning for Single-Table Text2SQL Generation by Zhang, Xiaoyu, Yin, Fengjing, Ma, Guojie, Ge, Bin, Xiao, Weidong

“…Text2SQL can help non-professionals connect with databases by turning natural languages into SQL…”
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Text2SQL Business Intelligence System Based on Retrieval‐Augmented Generation (RAG) by Liu, Jie, Chu, Shiwei

“… Advances in natural language processing, particularly deep learning generative models, have enabled text‐to‐SQL (text2SQL…”
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Optimizing Customer Support Using Text2SQL to Query Natural Language Databases by Maj, Michal, Pliszczuk, Damian, Marek, Patryk, Wilczewska, Weronika, Przysucha, Bartosz, Rymarczyk, Tomasz

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F-SQL: Fuse Table Schema and Table Content for Single-Table Text2SQL Generation by Zhang, Xiaoyu, Yin, Fengjing, Ma, Guojie, Ge, Bin, Xiao, Weidong

“…Automatically parsing SQL queries from natural languages can help non-professionals access databases and improve the efficiency of information utilization. It…”
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Chat with MES: LLM-driven user interface for manipulating garment manufacturing system through natural language by Yuan, Zhaolin, Li, Ming, Liu, Chang, Han, Fangyuan, Huang, Haolun, Dai, Hong-Ning

“…This paper presents Chat with MES (CWM), an AI agent system, which integrates LLMs into the Manufacturing Execution System (MES), serving as the “ears, mouth,…”
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A survey on complex factual question answering by Zhang, Lingxi, Zhang, Jing, Ke, Xirui, Li, Haoyang, Huang, Xinmei, Shao, Zhonghui, Cao, Shulin, Lv, Xin

“…Answering complex factual questions has drawn a lot of attention. Researchers leverage various data sources to support complex QA, such as unstructured texts,…”
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Dairy GPT: Empowering dairy farmers to interact with numerical databases through natural language conversations by Gontijo, Danillo, Rolins Santana, Douglas, de Assis Costa, Gustavo, Cabrera, Victor E., Noronha de Andrade Freitas, Eduardo

“…Large language models (LLMs), like GPT-4, have revolutionized artificial intelligence by enabling intuitive text and voice interactions, simplifying complex…”
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Evaluating Fine-Tuned LLMs with RAG and Text2SQL for the Water Conservancy Domain by Huang, Zheyuan, Ma, Shuaisen, Wang, Hongxia, Zheng, Zilong, Yu, Jiahui, Xia, Yifan

“…) and Retrieval-Augmented Generation (RAG). By integrating RAG for accurate information retrieval from a dynamic knowledge hub and employing fine-tuned Text2SQL for querying real-time water level databases, the system enhances decision support…”
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Optimizing Customer Support Using Text2SQL to Query Natural Language Databases by Maj, Michał, Pliszczuk, Damian, Marek, Patryk, Wilczewska, Weronika, Przysucha, Bartosz, Rymarczyk, Tomasz

“…Purpose: This paper explores the challenges and potential solutions associated with integrating Text2SQL technology into customer support operations…”
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Research on BERT-based Text2SQL Multi-task Learning by Xusheng, Liu, Yeteng, An, Jingxian, Lv, Huimin, Zhang, Yumeng, Zhang, Min, Li, Wei, Zhao, Wei, Han, Liangfei, Sun, Huiqin, Li

“…With the continuous development of computer technology, the Internet has entered the era of big data, which has spawned massive data in various fields and…”
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LR-SQL: A Supervised Fine-Tuning Method for Text2SQL Tasks under Low-Resource Scenarios by Wen Wuzhenghong, Zhang Yongpan, Pan, Su, Sun, Yuwei, Lu Pengwei, Cheng, Ding

“…Large language models revolutionize Text2SQL through supervised fine-tuning, yet a crucial limitation is overlooked…”
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Text2SQL is Not Enough: Unifying AI and Databases with TAG by Biswal, Asim, Patel, Liana, Jha, Siddarth, Kamsetty, Amog, Liu, Shu, Gonzalez, Joseph E, Guestrin, Carlos, Zaharia, Matei

“… However, existing methods and benchmarks insufficiently explore this setting. Text2SQL methods focus solely on natural language questions that can be…”
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CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL by Kothyari, Mayank, Dhingra, Dhruva, Sarawagi, Sunita, Chakrabarti, Soumen

“…Existing Text-to-SQL generators require the entire schema to be encoded with the user text. This is expensive or impractical for large databases with tens of…”
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AMBCrypto - Hardfork Media Private Limited: Text2SQL AI Review and Other Free Alternatives by Chanda, Prakriti

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Hugging Face Inc: Text2SQL using Hugging Face Dataset Viewer API and Motherduck DuckDB-NSQL-7B

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Evaluating ChatGPT for Text-To-SQL: An Empirical Approach by Petkovic, Dusan

“…Since the existence of database systems, the querying of data managed by them has been one of the most important and challenging task for their users. For this…”
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SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation by Yun, Janghyeon, Lee, Sang-goo

“…Text-to-SQL enables non-experts to retrieve data from databases by converting natural language queries into SQL. However, state-of-the-art text-to-SQL studies…”
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T2I-RISE: Text-to-Insights with Reinforcement learning, Integration of Semantic layers and Enrichment - A Comprehensive Approach with Conversational Context and Feedback Systems by Katikeri, Raghu, Phaniraja, Sai, Pratheek, Sai, Desai, Rajvi, Vaid, Amit, Shukla, Neelesh, Jain, Sandeep

“… Despite the industry's increasing use of Text2SQL powered by Large Language Models (LLM), implementation challenges remain, particularly in managing large-scale database schema representations…”
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