CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex
Immanuel Trummer
2022年份
77被引次数
15顶会引用
摘要
CodexDB enables users to customize SQL query processing via natural language instructions. CodexDB is based on OpenAI's GPT-3 Codex model which translates text into code. It is a framework on top of GPT-3 Codex that decomposes complex SQL queries into a series of simple processing steps, described in natural language. Processing steps are enriched with user-provided instructions and descriptions of database properties. Codex translates the resulting text into query processing code. An early prototype of CodexDB is able to generate correct code for up to 81% of queries for the WikiSQL benchmark and for up to 62% on the SPIDER benchmark.
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引用它的顶会 Paper15
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它引用的顶会 Paper5
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- Ember: No-Code Context Enrichment via Similarity-Based Keyless JoinsSahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros RekatsinasVLDB 2022 · 被引用 34 次
- ATHENA++: Natural Language Querying for Complex Nested SQL QueriesJaydeep Sen, Chuan Lei, Abdul Quamar, Fatma Özcan 等VLDB 2020
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