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Next-generation database interfaces: A survey of llm-based text-to-sql
Generating accurate SQL from natural language questions (text-to-SQL) is a long-standing
challenge due to the complexities in user question understanding, database schema …
challenge due to the complexities in user question understanding, database schema …
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 …
Retrieval-augmented generation for ai-generated content: A survey
The development of Artificial Intelligence Generated Content (AIGC) has been facilitated by
advancements in model algorithms, scalable foundation model architectures, and the …
advancements in model algorithms, scalable foundation model architectures, and the …
Sql-palm: Improved large language model adaptation for text-to-sql (extended)
Text-to-SQL, the process of translating natural language into Structured Query Language
(SQL), represents a transformative application of large language models (LLMs), potentially …
(SQL), represents a transformative application of large language models (LLMs), potentially …
The dawn of natural language to SQL: are we fully ready?
Translating users' natural language questions into SQL queries (ie, NL2SQL) significantly
lowers the barriers to accessing relational databases. The emergence of Large Language …
lowers the barriers to accessing relational databases. The emergence of Large Language …
Chess: Contextual harnessing for efficient sql synthesis
Utilizing large language models (LLMs) for transforming natural language questions into
SQL queries (text-to-SQL) is a promising yet challenging approach, particularly when …
SQL queries (text-to-SQL) is a promising yet challenging approach, particularly when …
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 …
Combining small language models and large language models for zero-shot NL2SQL
Zero-shot natural language to SQL (NL2SQL) aims to generalize pretrained NL2SQL
models to new environments (eg, new databases and new linguistic phenomena) without …
models to new environments (eg, new databases and new linguistic phenomena) without …
Chase-sql: Multi-path reasoning and preference optimized candidate selection in text-to-sql
In tackling the challenges of large language model (LLM) performance for Text-to-SQL tasks,
we introduce CHASE-SQL, a new framework that employs innovative strategies, using test …
we introduce CHASE-SQL, a new framework that employs innovative strategies, using test …
Tablegpt2: A large multimodal model with tabular data integration
A Su, A Wang, C Ye, C Zhou, G Zhang, G Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
The emergence of models like GPTs, Claude, LLaMA, and Qwen has reshaped AI
applications, presenting vast new opportunities across industries. Yet, the integration of …
applications, presenting vast new opportunities across industries. Yet, the integration of …