Text-To-SQL on spider

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Execution Accuracy (Test)

Rank	Model	Execution Accuracy (Test)	Exact Match Accuracy (Test)	Execution Accuracy (Dev)	Exact Match Accuracy (Dev)	Paper	Code	Year
1	AttnLink 자동 추출	95.95	–	–	–	AttnLink: Turning Attention into Schema Links for Text-to-SQL		2026
2	SIRIUS-SQL 자동 추출	91.20	–	–	–	SIRIUS-SQL: Anchoring Multi-Candidate Text-to-SQL in Execution Feedback		2026
2	AutoLink 자동 추출	91.2	–	–	–	AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale		2025
4	SERL-SQL 자동 추출	89.92	–	–	–	SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning		2026
5	MARS-SQL 자동 추출	89.75	–	–	–	MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL		2025
6	XiYan-SQL	89.65	–	–	–	A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL	XGenerationLab/XiYan-SQL · xgenerationlab/xiyan_mcp_server · XGenerationLab/M-Schema · +2	2024
7	Policy-Conditioned Constrained Decoding 자동 추출	88.7	–	–	–	Policy-Conditioned Constrained Decoding for Column-Level Access Control in Text-to-SQL	arXivSub_daily_arxiv	2026
8	LitE-SQL 자동 추출	88.45	–	–	–	LitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-Correction		2025
9	DecoSearch 자동 추출	88.31	–	–	–	DecoSearch: Complexity-Aware Routing and Plan-Level Repair for Text-to-SQL		2026
10	PET-SQL	87.6	66.6	–	–	PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency	zhshlii/petsql	2024
11	ZAS-SQL 자동 추출	87.2	–	–	–	ZAS-SQL: Distilling Rules from Failures for Zero-Shot Text-to-SQL		2026
12	DAIL-SQL + GPT-4 + Self-Consistency	86.6	–	84.4	74.4	Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation	beachwang/dail-sql	2023
13	AGENTIQL 자동 추출	86.07	–	–	–	AGENTIQL: An Agent-Inspired Multi-Expert Framework for Text-to-SQL Generation		2025
14	AV-SQL 자동 추출	85.59	–	–	–	AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views		2026
15	Single-Agent 자동 추출	85.5	–	–	–	LLM-Based SQL Generation: Prompting, Self-Refinement, and Adaptive Weighted Majority Voting		2026
16	DIN-SQL + GPT-4	85.3	60	–	–	DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction	mohammadrezapourreza/few-shot-nl2sql-with-prompting	2023
17	X-Linking 자동 추출	84.9	–	–	–	X-SQL: Expert Schema Linking and Understanding of Text-to-SQL with Multi-LLMs		2025
18	MSc-SQL	84.7	–	–	–	MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation	layer6ai-labs/msc-sql	2024
19	MARLO + Claude 2.1	84.0	–	83.6	–	Learning Metadata-Agnostic Representations for Text-to-SQL In-Context Example Selection		2024
20	C3 + ChatGPT + Zero-Shot	82.3	–	81.8	–	C3: Zero-shot Text-to-SQL with ChatGPT	bigbigwatermalon/c3sql	2023