ODU Digital Commons
metadata only
A Comprehensive Survey of Prompt Engineering Techniques in Large Language Models
artificial-intelligence-and-roboticscomputer-scienceslarge-language-modelsnatural-language-processingprompt-engineeringsystematic-literature-review
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.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Large Language Models Are Human-Level Prompt Engineers#16578
- Probing Maximally Divergent Conceptual Regions in Large Language Models Through Prompt Engineering#349461
- Understanding Student Use of Large Language Models Across Computer Science Subfields#1156093
- Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality#658930
- Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality#656794
Record · ID 455566
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive