AI paper index
RogueGPT: A Controlled Stimulus Generation Framework for News Authenticity Research
One-line summary
An AI research paper on RogueGPT: A Controlled Stimulus Generation Framework for News Authenticity Research.
Engineering notes
Engineering notes will be added by the aipentium editorial team.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
RogueGPT is a controlled stimulus generation framework for AI news authenticity research. It provides systematic, reproducible generation of multilingual news fragments across multiple large language models, journalistic styles, and content formats, together with a MongoDB-backed corpus, a CLI, a Streamlit web interface, and a Model Context Protocol (MCP) server for AI agent integration.
5.0Engineering value
7.0Research novelty
4.0Business relevance
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