Large language model for table processing: A survey
Tables, typically two-dimensional and structured to store large amounts of data, are
essential in daily activities like database queries, spreadsheet manipulations, Web table …
essential in daily activities like database queries, spreadsheet manipulations, Web table …
A Survey of NL2SQL with Large Language Models: Where are we, and where are we going?
Translating users' natural language queries (NL) into SQL queries (ie, NL2SQL) can
significantly reduce barriers to accessing relational databases and support various …
significantly reduce barriers to accessing relational databases and support various …
Codes: Towards building open-source language models for text-to-sql
Language models have shown promising performance on the task of translating natural
language questions into SQL queries (Text-to-SQL). However, most of the state-of-the-art …
language questions into SQL queries (Text-to-SQL). However, most of the state-of-the-art …
A survey on employing large language models for text-to-sql tasks
L Shi, Z Tang, N Zhang, X Zhang, Z Yang - arxiv preprint arxiv …, 2024 - arxiv.org
The increasing volume of data in relational databases and the expertise needed for writing
SQL queries pose challenges for users to access and analyze data. Text-to-SQL (Text2SQL) …
SQL queries pose challenges for users to access and analyze data. Text-to-SQL (Text2SQL) …
Data ambiguity strikes back: How documentation improves gpt's text-to-sql
Text-to-SQL allows experts to use databases without in-depth knowledge of them. However,
real-world tasks have both query and data ambiguities. Most works on Text-to-SQL focused …
real-world tasks have both query and data ambiguities. Most works on Text-to-SQL focused …
Evaluating the data model robustness of text-to-SQL systems based on real user queries
Text-to-SQL systems (also known as NL-to-SQL systems) have become an increasingly
popular solution for bridging the gap between user capabilities and SQL-based data access …
popular solution for bridging the gap between user capabilities and SQL-based data access …
Metasql: A generate-then-rank framework for natural language to sql translation
The Natural Language Interface to Databases (NLIDB) empowers non-technical users with
database access through intuitive natural language (NL) interactions. Advanced …
database access through intuitive natural language (NL) interactions. Advanced …
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
S Sivasubramaniam, C Osei-Akoto, Y Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Electronic health records (EHRs) are stored in various database systems with different
database models on heterogeneous storage architectures, such as relational databases …
database models on heterogeneous storage architectures, such as relational databases …
LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data
Social scientists are increasingly interested in analyzing the semantic information (eg,
emotion) of unstructured data (eg, Tweets), where the semantic information is not natively …
emotion) of unstructured data (eg, Tweets), where the semantic information is not natively …
Evaluating the effectiveness of prompt engineering for knowledge graph question answering
Many different methods for prompting large language models have been developed since
the emergence of OpenAI's ChatGPT in November 2022. In this work, we evaluate six …
the emergence of OpenAI's ChatGPT in November 2022. In this work, we evaluate six …