BeachWang/DAIL-SQL

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  # DAIL-SQL
  
  DAIL-SQL is a highly effective and efficient approach for optimizing the utilization of LLM on Text-to-SQL. It has proven its superiority by achieving a remarkable score of 86.2% on the Spider leaderboard using GPT-4 during testing. Notably, it only requires approximately 1600 tokens per question in Spider-dev. In addition to this, we have achieved an even higher score of 86.6% on Spider-test through self-consistency voting of GPT-4.

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  # DAIL-SQL: An Efficient Few-Shot NL2SQL Method for LLMs
  
  DAIL-SQL is a highly effective and efficient *method and framework* for optimizing the utilization of Large Language Models (LLMs) on Text-to-SQL tasks. It provides a robust approach for few-shot Natural Language to SQL generation, achieving a remarkable 86.2% on the Spider leaderboard using GPT-4. This repository offers the code and resources to implement and reproduce our state-of-the-art results, demonstrating a practical solution for high-accuracy NL2SQL.

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• mediumhomepage#2

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  https://arxiv.org/abs/2308.15363

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  Seeking a highly accurate and efficient text-to-SQL solution leveraging large language models.

  you: not recommended
  AI recommended (in order):

  1. Google's T5-large
  2. Meta's CodeLlama
  3. SQLCoder (defog-ai/sqlcoder)
  4. GPT-4
  5. Claude 3 Opus
  6. DB-GPT (eosphoros-ai/DB-GPT)
  7. Dataherald

  AI recommended 7 alternatives but never named BeachWang/DAIL-SQL. This is the gap to close.

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• CATEGORY QUERY

  How to optimize large language model performance for few-shot natural language to SQL tasks?

  you: not recommended
  AI recommended (in order):

  1. Spider
  2. Picard
  3. RAT-SQL
  4. SmBoP
  5. DIN-SQL
  6. GraPPa

  AI recommended 6 alternatives but never named BeachWang/DAIL-SQL. This is the gap to close.

  Show full AI answer

• Metadata completeness

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  Suggestion:

• README presence

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• Compared to common alternatives in this category, what is the core differentiator of BeachWang/DAIL-SQL?

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  ✓AI named BeachWang/DAIL-SQL explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts BeachWang/DAIL-SQL in production, what risks or prerequisites should they evaluate first?

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  ✓AI named BeachWang/DAIL-SQL explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo BeachWang/DAIL-SQL solve, and who is the primary audience?

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  ✓AI named BeachWang/DAIL-SQL explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?