TURSpider: A Turkish Text-to-SQL Dataset and LLM-Based Study
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3498841
Abstract: This 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. TURSpider… read more here.
Keywords: text sql; sql; dataset; turkish text ... See more keywords
A Survey of Text-to-SQL in the Era of LLMs: Where Are We, and Where Are We Going?
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3592032
Abstract: Translating users’ natural language queries (NL) into SQL queries (i.e., Text-to-SQL, a.k.a. NL2SQL) can significantly reduce barriers to accessing relational databases and support various commercial applications. The performance of Text-to-SQL has been greatly enhanced with… read more here.
Keywords: survey text; language; text sql; sql ... See more keywords
Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3609486
Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database schema comprehension, and SQL generation. Traditional text-to-SQL systems, which combine human engineering… read more here.
Keywords: database; text sql; based text; llm based ... See more keywords
Refining Zero-Shot Text-to-SQL Benchmarks via Prompt Strategies with Large Language Models
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DOI: 10.3390/app15105306
Abstract: Text-to-SQL leverages large language models (LLMs) for natural language database queries, yet existing benchmarks like BIRD (12,751 question–SQL pairs, 95 databases) suffer from inconsistencies—e.g., 30% of queries misalign with SQL outputs—and ambiguities that impair LLM… read more here.
Keywords: large language; text sql; sql; zero shot ... See more keywords
ExSPIN: Explicit Feedback-Based Self-Play Fine-Tuning for Text-to-SQL Parsing
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DOI: 10.3390/e27030235
Abstract: Recently, self-play fine-tuning (SPIN) has garnered widespread attention as it enables large language models (LLMs) to iteratively enhance their capabilities through simulated interactions with themselves, transforming a weak LLM into a strong one. However, applying… read more here.
Keywords: play fine; text sql; language; self play ... See more keywords
ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models
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DOI: 10.3390/fi17080325
Abstract: The task of Text-to-SQL enables anyone to retrieve information from SQL databases using natural language. While this task has made substantial progress, the two primary evaluation metrics—Execution Accuracy (EXE) and Exact Set Matching Accuracy (ESM)—suffer… read more here.
Keywords: large language; text sql; language; evaluation ... See more keywords