Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities GPT-4 Technical Report

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This paper cites Explainable artificial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Explainable artificial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence

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This paper cites Adapt and decompose: Efficient generalization of text-to-sql via domain adapted least-to-most prompting.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Adapt and decompose: Efficient generalization of text-to-sql via domain adapted least-to-most prompting

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This paper cites ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models

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This paper cites MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL

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This paper cites Benchmarking and improving text-to-sql generation under ambiguity.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Benchmarking and improving text-to-sql generation under ambiguity

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This paper cites E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL

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This paper cites SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration

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This paper cites How to prompt llms for text-to-sql: A study in zero-shot, single-domain, and cross-domain settings.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities How to prompt llms for text-to-sql: A study in zero-shot, single-domain, and cross-domain settings

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This paper cites Selective demonstrations for cross-domain text-to-sql.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Selective demonstrations for cross-domain text-to-sql

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Unresolved cited work

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This paper cites A survey on evaluation of large language models.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities A survey on evaluation of large language models

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This paper cites BEAVER: An Enterprise Benchmark for Text-to-SQL.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities BEAVER: An Enterprise Benchmark for Text-to-SQL

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This paper cites Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Models.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Models

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Teaching large language models to self-debug

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Binding language models in symbolic languages

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This paper cites Ryansql: Recursively applying sketch-based slot fillings for complex text-to-sql in cross-domain databases.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Ryansql: Recursively applying sketch-based slot fillings for complex text-to-sql in cross-domain databases

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This paper cites Introduction to algorithms.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Introduction to algorithms

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This paper cites Distillation matters: Empowering sequential recommenders to match the performance of large language models.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Distillation matters: Empowering sequential recommenders to match the performance of large language models

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This paper cites Recent advances in text-to-sql: A survey of what we have and what we expect.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Recent advances in text-to-sql: A survey of what we have and what we expect

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This paper cites Structure-grounded pretraining for text-to-sql.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Structure-grounded pretraining for text-to-sql

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Qlora: Efficient finetuning of quantized llms

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities C3: Zero-shot Text-to-SQL with ChatGPT

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Multispider: towards benchmarking multilingual text-to-sql semantic parsing

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Sean Wang

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Detecting hallucinations in large language models using semantic entropy

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities On the effectiveness of parameter-efficient fine-tuning

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This paper cites Measuring and improving compositional generalization in text-to-sql via component alignment.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Measuring and improving compositional generalization in text-to-sql via component alignment

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Towards robustness of text-to-sql models against synonym substitution

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Exploring underexplored limitations of cross-domain text-to-sql generalization

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Text-to-sql empowered by large language models: A benchmark evaluation

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Msc-sql: Multi-sample critiquing small language models for text-to-sql translation

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Few-shot text-to-sql translation using structure and content prompt learning

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Retrieval-augmented gpt-3.5-based text-to-sql framework with sample-aware prompting and dynamic revision chain

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Chase: A large-scale and pragmatic chinese dataset for cross-database context-dependent text-to-sql

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Application of k-means clustering based on artificial intelligence in gene statistics of biological information engineering

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Lora: Low-rank adaptation of large language models

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Towards reasoning in large language models: A survey

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities CCoE: A Compact and Efficient LLM Framework with Multi-Expert Collaboration for Resource-Limited Settings

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Improving Text-to-SQL with Schema Dependency Learning

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Survey of hallucination in natural language generation

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Bert: Pre-training of deep bidirectional transformers for language understanding

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Privacy issues in large language models: A survey

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Tree of clarifications: Answering ambiguous questions with retrieval-augmented large language models

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities i’m not sure, but

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Crush4sql: Collective retrieval using schema halluci- nation for text2sql

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Cllms: Consistency large language models

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Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities A literature survey on open source large language models

Reference 55

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Observation cedcf2dc-094f-43cb-8a40-fa0b8857c519 · outbound

This paper cites Booksql: A large scale text-to-sql dataset for accounting domain.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Booksql: A large scale text-to-sql dataset for accounting domain

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:37.933283Z

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Observation 63a59788-bc80-4e84-907e-97d5c9e58c1c · outbound

This paper cites Kaggledbqa: Realistic evaluation of text-to-sql parsers.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Kaggledbqa: Realistic evaluation of text-to-sql parsers

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.041689Z

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Observation f395457a-6151-4b1a-9482-ba44f7331b31 · outbound

This paper cites MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.163368Z

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Observation 2042eb9b-32c1-4517-a955-428c562d01e2 · outbound

This paper cites Ehrsql: A practical text-to-sql benchmark for electronic health records.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Ehrsql: A practical text-to-sql benchmark for electronic health records

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.285015Z

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Observation 3308de33-d12a-41df-855a-e423d1eab838 · outbound

This paper cites The dawn of natural language to SQL: are we fully ready? [experiment, analysis \u0026 benchmark ].

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities The dawn of natural language to SQL: are we fully ready? [experiment, analysis \u0026 benchmark ]

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.399099Z

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Observation 079ea991-5703-4904-8a81-659744688fe6 · outbound

This paper cites SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.497352Z

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Observation b0a7fb97-ed46-4174-8595-71ee32630309 · outbound

This paper cites Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.588474Z

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Observation 8b7221bf-21c0-4ba0-a3a3-e593b3706e3d · outbound

This paper cites Codes: Towards building open-source language models for text-to-sql.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Codes: Towards building open-source language models for text-to-sql

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.665774Z

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Observation 2cebaf12-1338-4fe9-95d3-bd4a2b999fb5 · outbound

This paper cites Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.775275Z

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Observation e63fac82-c76c-488b-8b28-780e46ac0cc5 · outbound

This paper cites Using LLM to select the right SQL Query from candidates.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Using LLM to select the right SQL Query from candidates

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.877153Z

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Observation f12833c8-9598-4aef-9bd1-ca58b901d297 · outbound

This paper cites PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.970876Z

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Observation 9e601d1d-31ec-4c4e-85f7-65e2c0742a92 · outbound

This paper cites MoMQ: Mixture-of-Experts Enhances Multi-Dialect Query Generation across Relational and Non-Relational Databases.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities MoMQ: Mixture-of-Experts Enhances Multi-Dialect Query Generation across Relational and Non-Relational Databases

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:39.077590Z

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Observation 835a28e2-9d43-4b79-ace8-44b8ae7a70ef · outbound

This paper cites A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:39.156992Z

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Observation 19b26eec-6f44-49e2-b0cc-08f99c0b0c22 · outbound

This paper cites Divide and Prompt: Chain of Thought Prompting for Text-to-SQL.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Divide and Prompt: Chain of Thought Prompting for Text-to-SQL

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:39.234159Z

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Observation a6d89e4d-fd6f-460e-8a7e-5fc1f5629cf4 · outbound

This paper cites EPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention Instructions.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities EPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention Instructions

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:39.298723Z

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Observation 168d4c91-81c9-4e63-b4e3-908b9a0ec30a · outbound

This paper cites On llms-driven synthetic data generation, curation, and evaluation: A survey.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities On llms-driven synthetic data generation, curation, and evaluation: A survey

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:39.378588Z

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Observation 5cb1daa1-aa14-4e93-9152-4a52e51dac85 · outbound

This paper cites PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:39.455565Z

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Observation 3c393b5f-bdac-4d4d-b53f-e1debb8988d7 · outbound

This paper cites Enhancing text-to-sql capabilities of large language models via domain database knowledge injection.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Enhancing text-to-sql capabilities of large language models via domain database knowledge injection

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:39.560736Z

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Observation a8eea381-411f-4274-a11a-1dba1aab3369 · outbound

This paper cites Llm-pruner: On the structural pruning of large language models.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Llm-pruner: On the structural pruning of large language models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:39.664957Z

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Observation 38e1219c-65fd-4cb3-ad19-7af943f11498 · outbound

This paper cites The death of schema linking? text-to-sql in the age of well-reasoned language models.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities The death of schema linking? text-to-sql in the age of well-reasoned language models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:39.781205Z

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Observation 46addcf8-2fee-4f5e-82d3-e8cae8ffa340 · outbound

This paper cites Learning metadata-agnostic representations for text-to-sql in-context example selection.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Learning metadata-agnostic representations for text-to-sql in-context example selection

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:39.918454Z

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Observation 6f407b21-b581-4d7a-8448-e3d93e958181 · outbound

This paper cites Enhancing text-to-sql parsing through question rewriting and execution-guided refinement.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Enhancing text-to-sql parsing through question rewriting and execution-guided refinement

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.016042Z

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Observation b368c340-4b18-46bb-8fec-42093b419711 · outbound

This paper cites Ai-enabled data-driven approaches for personalized medicine and healthcare analytics.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Ai-enabled data-driven approaches for personalized medicine and healthcare analytics

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.098752Z

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Observation b6098b55-3388-45ec-b241-432abf8950bf · outbound

This paper cites A pilot study for chinese sql semantic parsing.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities A pilot study for chinese sql semantic parsing

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.179193Z

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Observation 9b3107fe-ad04-433d-a277-4b7a40a94223 · outbound

This paper cites Towards an understanding of business intelligence and analytics usage: Evidence from the banking industry.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Towards an understanding of business intelligence and analytics usage: Evidence from the banking industry

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.289676Z

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Observation c9254d2a-cfe0-4f63-b6e7-a68837072cd2 · outbound

This paper cites Enhancing text-to-sql capabilities of large language models: A study on prompt design strategies.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Enhancing text-to-sql capabilities of large language models: A study on prompt design strategies

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.364928Z

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Observation a3feea2b-edab-4b7d-9534-687f7a1c5d3a · outbound

This paper cites Lever: Learning to verify language-to-code generation with execution.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Lever: Learning to verify language-to-code generation with execution

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.439307Z

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Observation fb8c158a-1d2c-4595-930f-e6c08ad9f417 · outbound

This paper cites an unresolved cited work.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.487931Z

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Observation 0de98f14-fc7b-4336-8ac3-06b18819318f · outbound

This paper cites Few-shot transfer learning for knowledge base question answering: Fusing supervised models with in-context learning.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Few-shot transfer learning for knowledge base question answering: Fusing supervised models with in-context learning

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.589179Z

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Observation aca25f20-0e90-4326-b70c-b3c2c326f378 · outbound

This paper cites Exploring dimensions of generalizability and few-shot transfer for text-to-sql semantic parsing.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Exploring dimensions of generalizability and few-shot transfer for text-to-sql semantic parsing

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.661838Z

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Observation ee38b5e4-f15f-40e6-ae0d-d41f4b196b03 · outbound

This paper cites Glove: Global vectors for word representation.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Glove: Global vectors for word representation

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.713092Z

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Observation a33ee8b9-d574-4abc-923e-8129ab4b542c · outbound

This paper cites Guidelines for conducting systematic mapping studies in software engineering: An update.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Guidelines for conducting systematic mapping studies in software engineering: An update

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.789963Z

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Observation 0971f8fb-c031-4d1b-9f7a-e1860a04e30e · outbound

This paper cites CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.856528Z

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Observation 8f3cb02b-438a-488c-9f9b-1932df22ef61 · outbound

This paper cites Din-sql: Decomposed in-context learning of text-to-sql with self-correction.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Din-sql: Decomposed in-context learning of text-to-sql with self-correction

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:40.992710Z

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Observation d699ad3c-a589-4aef-8691-38c1e4f8ffc9 · outbound

This paper cites DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:41.099358Z

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Observation d84b3c78-dc05-456a-8bcc-86ee911bfb5e · outbound

This paper cites SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:41.215905Z

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Observation e78223ba-035b-49a3-91b5-1b47fb9c8781 · outbound

This paper cites A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:41.402113Z

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Observation 0c306a40-c82b-4e75-bfb0-edfa7e2af0fd · outbound

This paper cites Before generation, align it! A novel and effective strategy for mitigating hallucinations in text-to-sql generation.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Before generation, align it! A novel and effective strategy for mitigating hallucinations in text-to-sql generation

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:41.484729Z

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Observation 1d7dacd3-95e3-4de5-aa45-d338820c2d6c · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Direct preference optimization: Your language model is secretly a reward model

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:41.588502Z

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Observation 44ad15cf-26de-4a0d-a05b-ab9ce0722b08 · outbound

This paper cites Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:41.662985Z

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Observation b2c8f63d-1657-4f8c-ae6f-cf35abf3ffc3 · outbound

This paper cites Evaluating the Text-to-SQL Capabilities of Large Language Models.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Evaluating the Text-to-SQL Capabilities of Large Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:41.751820Z

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Observation 5f0842be-d880-4e9c-b22e-ed63b3c96ccf · outbound

This paper cites A comparative study on the impact of model compression techniques on fairness in language models.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities A comparative study on the impact of model compression techniques on fairness in language models

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:41.915540Z

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Observation a3424bd6-04ee-4ba6-922f-79b3e3f69689 · outbound

This paper cites Purple: Making a large language model a better sql writer.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Purple: Making a large language model a better sql writer

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:42.095442Z

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Observation be335bdf-4ed5-469a-a4da-4ee6a62bd05b · outbound

This paper cites The Effect of Sampling Temperature on Problem Solving in Large Language Models.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities The Effect of Sampling Temperature on Problem Solving in Large Language Models

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:42.215464Z

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Observation fd325df4-4161-4017-a1b4-bad5b1bdc604 · outbound

This paper cites Ehr-seqsql : A sequential text-to-sql dataset for interactively exploring electronic health records.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Ehr-seqsql : A sequential text-to-sql dataset for interactively exploring electronic health records

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:42.385401Z

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