Jailbreak prompts grouped into ten patterns and three categories successfully evade ChatGPT restrictions across 40 scenarios using 3,120 test questions.
A prompt pattern catalog to enhance prompt engineering with chatgpt
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SE 2roles
background 1polarities
background 1representative citing papers
A systematic survey of LLM-powered code generation agents that categorizes single-agent and multi-agent architectures, maps their use across the full software development lifecycle, reviews benchmarks and tools, and outlines future challenges.
citing papers explorer
-
Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study
Jailbreak prompts grouped into ten patterns and three categories successfully evade ChatGPT restrictions across 40 scenarios using 3,120 test questions.
-
A Survey on Code Generation with LLM-based Agents
A systematic survey of LLM-powered code generation agents that categorizes single-agent and multi-agent architectures, maps their use across the full software development lifecycle, reviews benchmarks and tools, and outlines future challenges.