Papers Text-To-SQL
“Text-To-SQL” 태그가 달린 논문 424편 · 필터 해제
Reliable Text-to-SQL with Adaptive Abstention
Large language models (LLMs) have revolutionized natural language interfaces for databases, particularly in text-to-SQL conversion. However, current approaches often generate unreliable outputs when faced with ambiguity …
Answer GenerationText to SQLText-To-SQLA Study of In-Context-Learning-Based Text-to-SQL Errors
Large language models (LLMs) have been adopted to perform text-to-SQL tasks, utilizing their in-context learning (ICL) capability to translate natural language questions into structured query language (SQL). However, suc…
In-Context LearningText to SQLText-To-SQLConfidence Estimation for Error Detection in Text-to-SQL Systems
Text-to-SQL enables users to interact with databases through natural language, simplifying the retrieval and synthesis of information. Despite the success of large language models (LLMs) in converting natural language qu…
DecoderIn-Context LearningText to SQLText-To-SQLAutomated Self-Refinement and Self-Correction for LLM-based Product Attribute Value Extraction
Structured product data, in the form of attribute-value pairs, is essential for e-commerce platforms to support features such as faceted product search and attribute-based product comparison. However, vendors often provi…
AttributeAttribute Value ExtractionCode GenerationIn-Context Learning+2Explainable Multi-Modal Data Exploration in Natural Language via LLM Agent
International enterprises, organizations, or hospitals collect large amounts of multi-modal data stored in databases, text documents, images, and videos. While there has been recent progress in the separate fields of mul…
Text to SQLText-To-SQLContrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents
We present a question-and-answer (Q\&A) application designed to support the contract management process by leveraging combined information from contract documents (PDFs) and data retrieved from contract management system…
Language ModelingLanguage ModellingLarge Language ModelManagement+6Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types
Recent advancements in large language models (LLMs) have significantly advanced text-to-SQL systems. However, most LLM-based methods often narrowly focus on SQL generation, neglecting the complexities of real-world conve…
MMSQL performanceNavigateText to SQLText-To-SQLSolid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL
Recently, large language models (LLMs) have significantly improved the performance of text-to-SQL systems. Nevertheless, many state-of-the-art (SOTA) approaches have overlooked the critical aspect of system robustness. O…
Data AugmentationIn-Context LearningText to SQLText-To-SQLV-SQL: A View-based Two-stage Text-to-SQL Framework
The text-to-SQL task aims to convert natural language into Structured Query Language (SQL) without bias. Recently, text-to-SQL methods based on large language models (LLMs) have garnered significant attention. The core o…
Text to SQLText-To-SQLROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
Despite the significant advancements in Text-to-SQL (Text2SQL) facilitated by large language models (LLMs), the latest state-of-the-art techniques are still trapped in the in-context learning of closed-source LLMs (e.g.,…
In-Context LearningText to SQLText-To-SQLTowards Automated Cross-domain Exploratory Data Analysis through Large Language Models
Exploratory data analysis (EDA), coupled with SQL, is essential for data analysts involved in data exploration and analysis. However, data analysts often encounter two primary challenges: (1) the need to craft SQL querie…
Data VisualizationDomain GeneralizationText to SQLText-To-SQLCooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents
Text-to-SQL task aims to automatically yield SQL queries according to user text questions. To address this problem, we propose a Cooperative SQL Generation framework based on Multi-functional Agents (CSMA) through inform…
Language ModelingLanguage ModellingLarge Language ModelText to SQL+1A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges
Text-to-SQL systems facilitate smooth interaction with databases by translating natural language queries into Structured Query Language (SQL), bridging the gap between non-technical users and complex database management …
Domain GeneralizationLanguage ModelingLanguage ModellingLarge Language Model+3CEGI: Measuring the trade-off between efficiency and carbon emissions for SLMs and VLMs
This paper analyzes the performance of Small Language Models (SLMs) and Vision Language Models (VLMs) and evaluates the trade-off between model performance and carbon emissions across 4 essential tasks: Image Captioning,…
Image CaptioningQuantizationQuestion AnsweringText to SQL+3EzSQL: An SQL intermediate representation for improving SQL-to-text Generation
The SQL-to-text generation task traditionally uses template base, Seq2Seq, tree-to-sequence, and graph-to-sequence models. Recent models take advantage of pre-trained generative language models for this task in the Seq2S…
Graph-to-SequenceLanguage ModelingLanguage ModellingSQL-to-Text+3Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities
Calibration is crucial as large language models (LLMs) are increasingly deployed to convert natural language queries into SQL for commercial databases. In this work, we investigate calibration techniques for assigning co…
Natural Language QueriesText to SQLText-To-SQLLeveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL
Large Language Models (LLMs) exhibit impressive problem-solving skills across many tasks, but they still underperform compared to humans in various downstream applications, such as text-to-SQL. On the BIRD benchmark lead…
Continual LearningIn-Context LearningText to SQLText-To-SQLThe Role of Accuracy and Validation Effectiveness in Conversational Business Analytics
This study examines conversational business analytics, an approach that utilizes AI to address the technical competency gaps that hinder end users from effectively using traditional self-service analytics. By facilitatin…
Text to SQLText-To-SQLvalidA Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL
To tackle the challenges of large language model performance in natural language to SQL tasks, we introduce XiYan-SQL, an innovative framework that employs a multi-generator ensemble strategy to improve candidate generat…
DiversityIn-Context LearningLarge Language ModelNamed Entity Recognition+2Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
Real-world enterprise text-to-SQL workflows often involve complex cloud or local data across various database systems, multiple SQL queries in various dialects, and diverse operations from data transformation to analytic…
Code GenerationText to SQLText-To-SQL