Conceptio › Archive › OSF
OSF open access

Automatic Prompt Optimization for Policy Documents Classification

OSF Authors · osf
OSF · Papers
Open Source ↗
classificationphysical-sciences-and-mathematicssocial-and-behavioral-sciences
In this paper, I leverage three automatic prompt optimization (APO) algorithms to search for optimal prompts that enable large language models to classify policy documents accurately, without requiring task-specific training data. I evaluate the performance of these optimized prompts using OpenAI’s
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

OSF

Related documents

Record · ID 976817 · SHA-256 185604818b2f43ba
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive