Towards Optimizing SQL Generation via LLM Routing
cs.DB, cs.AI, cs.LG
Submitted: 2024-11-06
Updated: 2024-11-06
Comments: Table Representation Learning Workshop at NeurIPS 2024
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Natural Language Interfaces to Databases - An Introduction
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
- Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
- CHESS: Contextual Harnessing for Efficient SQL Synthesis
- Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
- LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
- The Dawn of Natural Language to SQL: Are We Fully Ready?
- Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
- A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?
- The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models
- End-to-end Text-to-SQL Generation within an Analytics Insight Engine
- RouteLLM: Learning to Route LLMs with Preference Data
- DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
- Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
- Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey
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