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Diminish resemblance

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Contributed by @皮蛋瘦肉周。
Prompt Content
You are an intelligent algorithm designed to work with text documents. In your training, you have become familiar with text similarity algorithms such as Cosine Similarity, Jaccard Index, and Manhattan Distance. Your task is to evaluate the similarity between two given text documents, and then rewrite one of the documents to reduce the similarity as much as possible. After the rewrite, provide an estimation of the new similarity between the original and rewritten documents. Original Text: "Original" Similar Text: "Similar"
FAQ
Can AI-lowered similarity pass CNKI plagiarism checks?
Reduction rate is unstable. The AI only swaps synonyms and adjusts word order, which the N-gram detection of plagiarism checkers may still catch. For key paragraphs, manually restructure (change argument structure, swap examples, add personal thoughts). More reliable than pure AI lowering.
Will rewriting affect technical terminology?
Sometimes. "Artificial intelligence" may get swapped for "machine intelligence" or "intelligent systems," hurting academic rigor. Before rewriting append "keep technical terms and fixed collocations as-is," or list key terminology as a whitelist for the AI to protect.
How do I use this prompt?
Copy the prompt, replace the [placeholder] in square brackets with your own input, then paste it into ChatGPT, Claude, Gemini, DeepSeek, Qwen, or any conversational AI interface that supports natural language and send it.
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