<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompts on Rosetears</title><link>https://rosetears.cn/en/tags/prompt/</link><description>Recent content in Prompts on Rosetears</description><generator>Hugo -- gohugo.io</generator><language>en-US</language><managingEditor>rose@rosetears.cn (Rosetears)</managingEditor><webMaster>rose@rosetears.cn (Rosetears)</webMaster><lastBuildDate>Thu, 12 Feb 2026 10:00:42 +0800</lastBuildDate><atom:link href="https://rosetears.cn/en/tags/prompt/index.xml" rel="self" type="application/rss+xml"/><item><title>Still Unsatisfied with Paper Polishing? Use a Roundtable-Simulation Prompt for Top-Journal-Style Rewriting</title><link>https://rosetears.cn/en/posts/archives-86-86/</link><pubDate>Wed, 11 Feb 2026 22:15:00 +0800</pubDate><author>rose@rosetears.cn (Rosetears)</author><guid>https://rosetears.cn/en/posts/archives-86-86/</guid><description>This SCI paper-polishing prompt uses a roundtable-meeting format and forces the AI to simulate an editorial workflow similar to Nature. It does not rewrite immediately. Instead, a logic architect and reviewers first run three rounds of debate, then a writing specialist outputs two versions, Draft A and Draft B. The process raises information density and reduces the mechanical feel of AI-generated prose, making it suitable for detailed academic-paper revision.</description></item><item><title>Cannot Find Relevant Literature? Two Fast Search Methods (CNKI + WOS)</title><link>https://rosetears.cn/en/posts/archives-83-83/</link><pubDate>Sat, 24 Jan 2026 21:59:05 +0800</pubDate><author>rose@rosetears.cn (Rosetears)</author><guid>https://rosetears.cn/en/posts/archives-83-83/</guid><description>This article introduces two methods for literature search: when you already have papers, expand the literature pool through CNKI citation networks or Inciteful.xyz; when you only have a topic, build and iteratively refine search queries with CNKI professional search and Web of Science advanced search. It includes operation steps, a query-generation prompt, and an optimization workflow using 5–20 seed papers.</description></item><item><title>[Prompt] End Ineffective AI Communication and Get Precise Responses</title><link>https://rosetears.cn/en/posts/archives-56-56/</link><pubDate>Wed, 23 Jul 2025 10:20:00 +0800</pubDate><author>rose@rosetears.cn (Rosetears)</author><guid>https://rosetears.cn/en/posts/archives-56-56/</guid><description>A practical prompt-engineering guide that introduces a powerful meta-prompt for turning AI into a strategic advisor that clarifies requirements, asks better questions, and produces more reliable outputs.</description></item><item><title>[Share] PDF2zh and Zotero-PDF2zh Prompt Configuration, Including My Own Prompt for pdf2zh 2.x</title><link>https://rosetears.cn/en/posts/archives-51-51/</link><pubDate>Thu, 22 May 2025 10:21:00 +0800</pubDate><author>rose@rosetears.cn (Rosetears)</author><guid>https://rosetears.cn/en/posts/archives-51-51/</guid><description>Use custom prompts in PDFMathTranslate and Zotero for pdf2zh to improve academic translation quality while preserving structure, formatting, citations, and formulas.</description></item><item><title>[Prompt] Use a Prompt to Polish Text with Large Models, Improve Readability, and Boost Writing Efficiency</title><link>https://rosetears.cn/en/posts/archives-28-28/</link><pubDate>Thu, 13 Feb 2025 21:07:00 +0800</pubDate><author>rose@rosetears.cn (Rosetears)</author><guid>https://rosetears.cn/en/posts/archives-28-28/</guid><description>This article introduces an efficient polishing prompt based on large language models. It improves the writing experience, provides a quick-use option, and offers model-selection suggestions for more efficient content creation.</description></item></channel></rss>