mlsanityData to 7 Oct 2026

Towards Agentic Schema Refinement

arXiv 2412.07786 ↗First posted 25 Nov 2024cs.DB cs.AIcited by 2

On the map: LLM agents and tool use → Web, search, and research agents

Abstract (arXiv)

Large enterprise databases can be complex and messy, obscuring the data semantics needed for analytical tasks. We propose a semantic layer in-between the database and the user as a set of small and easy-to-interpret database views, effectively acting as a refined version of the schema. To discover these views, we introduce a multi-agent Large Language Model (LLM) simulation where LLM agents collaborate to iteratively define and refine views with minimal input. Our approach paves the way for LLM-powered exploration of unwieldy databases.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Placed in Web, search, and research agents, one of 16 directions in LLM agents and tool use. Builds on 18 of its 25 references that are in the map. First posted on arXiv 25 Nov 2024.

Builds on

18 of 25 references.

References · 18

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  3. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  4. 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,155
  5. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,348
  6. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 752
  7. 2023DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correctioncited by 465
  8. 2023Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluationcited by 378
  9. 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answeringcited by 217
  10. 2024Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agentscited by 210
  11. 2023RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQLcited by 191
  12. 2023C3: Zero-shot Text-to-SQL with ChatGPTcited by 159
6 more
  1. 2023Chain of Hindsight Aligns Language Models with Feedbackcited by 147
  2. 2024AgentInstruct: Toward Generative Teaching with Agentic Flowscited by 88
  3. 2024AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent Systemcited by 53
  4. 2023Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniquescited by 23
  5. 2023SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Datacited by 16
  6. 2023Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQLcited by 11

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directionscited by 46
  2. 2026Toward Multi-Database Query Reasoning for Text2Cyphercited by 0

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  1. 2025Large Language Model-based Data Science Agent: A Survey
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  3. 2026An Agentic System for Schema Aware NL2SQL Generation
  4. 2025LLM and Agent-Driven Data Analysis: A Systematic Approach for Enterprise Applications and System-level Deployment
  5. 2026APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL
  6. 2025RAISE: Reasoning Agent for Interactive SQL Exploration
  7. 2025LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions
  8. 2026Can LLMs Normalize Databases? A Benchmark and Multi-Agent Framework for Schema Normalization