Image de couverture de livre

Meta-aware Learning in text-to-SQL Large Language Model

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Zhang, Wenda
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

EzSQL: An SQL intermediate representation for improving SQL-to-text Generation
par: Bhardwaj, Meher, et autres
Publié: (2024)

SPFT-SQL: Enhancing Large Language Model for Text-to-SQL Parsing by Self-Play Fine-Tuning
par: Zhang, Yuhao, et autres
Publié: (2025)

Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Models
par: Chen, Xiaojun, et autres
Publié: (2024)

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes
par: Xie, Wenxuan, et autres
Publié: (2025)

Structure Guided Large Language Model for SQL Generation
par: Zhang, Qinggang, et autres
Publié: (2024)

SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)
par: Sun, Ruoxi, et autres
Publié: (2023)

SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Models
par: Zhang, Bin, et autres
Publié: (2024)

GradeSQL: Test-Time Inference with Outcome Reward Models for Text-to-SQL Generation from Large Language Models
par: Tritto, Mattia, et autres
Publié: (2025)

TOOLCAD: Exploring Tool-Using Large Language Models in Text-to-CAD Generation with Reinforcement Learning
par: Gong, Yifei, et autres
Publié: (2026)

KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning
par: Lv, Qitan, et autres
Publié: (2026)

PURPLE: Making a Large Language Model a Better SQL Writer
par: Ren, Tonghui, et autres
Publié: (2024)

Towards Efficient LLM-aware Heterogeneous Graph Learning
par: Li, Wenda, et autres
Publié: (2025)

Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection
par: Ma, Xingyu, et autres
Publié: (2024)

TLoRA: Task-aware Low Rank Adaptation of Large Language Models
par: Lin, Weicheng, et autres
Publié: (2026)

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects
par: Zhang, Jipeng, et autres
Publié: (2025)

Preservation of Language Understanding Capabilities in Speech-aware Large Language Models
par: Kubis, Marek, et autres
Publié: (2025)

Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models
par: Pei, Wenqi, et autres
Publié: (2025)

From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems
par: Mohammadjafari, Ali, et autres
Publié: (2024)

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
par: Li, Wenjun, et autres
Publié: (2025)

Multi-Turn Interactions for Text-to-SQL with Large Language Models
par: Xiong, Guanming, et autres
Publié: (2024)

SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL
par: Hua, Harper, et autres
Publié: (2026)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
par: Lyu, Yougang, et autres
Publié: (2024)

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages
par: chi, Yongdong, et autres
Publié: (2025)

CRED-SQL: Enhancing Real-world Large Scale Database Text-to-SQL Parsing through Cluster Retrieval and Execution Description
par: Duan, Shaoming, et autres
Publié: (2025)

Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL
par: Liu, Geling, et autres
Publié: (2024)

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
par: Yang, Linyao, et autres
Publié: (2023)

$\text{M}^{2}$LLM: Multi-view Molecular Representation Learning with Large Language Models
par: Ju, Jiaxin, et autres
Publié: (2025)

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
par: Chen, Wei, et autres
Publié: (2025)

Sample-aware Adaptive Structured Pruning for Large Language Models
par: Kong, Jun, et autres
Publié: (2025)

Meta-Judging with Large Language Models: Concepts, Methods, and Challenges
par: Silva, Hugo, et autres
Publié: (2026)

Meta-Reasoning Improves Tool Use in Large Language Models
par: Alazraki, Lisa, et autres
Publié: (2024)

AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models
par: Hong, Xin, et autres
Publié: (2024)

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
par: Lee, Jihyung, et autres
Publié: (2025)

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
par: Yu, Longhui, et autres
Publié: (2023)

FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis
par: Zhang, Chao, et autres
Publié: (2024)

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
par: Li, Guozheng, et autres
Publié: (2024)

CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models
par: Zhou, Wei, et autres
Publié: (2025)

Concept-aware Data Construction Improves In-context Learning of Language Models
par: Štefánik, Michal, et autres
Publié: (2024)

Multi-Stage Evolutionary Model Merging with Meta Data Driven Curriculum Learning for Sentiment-Specialized Large Language Modeling
par: Inoshita, Keito, et autres
Publié: (2026)

On Linearizing Structured Data in Encoder-Decoder Language Models: Insights from Text-to-SQL
par: Shao, Yutong, et autres
Publié: (2024)