806 citations · 849 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 4 cited
Semantic Compression With Large Language Models
Henry Gilbert, Michael Sandborn, Douglas C. Schmidt +2
The rise of large language models (LLMs) is revolutionizing information retrieval, question answering, summarization, and code generation tasks. However, in addition to confidently…
cs.SE2023★ 39 cited
ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design
Jules White, Sam Hays, Quchen Fu +2
This paper presents prompt design techniques for software engineering, in the form of patterns, to solve common problems when using large language models (LLMs), such as ChatGPT to…
cs.SE2023★ 806 cited
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Jules White, Quchen Fu, Sam Hays +6
Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. Prompts are instructions given to an LL…