Academic Paper Rewriter for Plagiarism and AI Detection Reduction
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About this skill
Challenges in Academic Writing: Plagiarism and AI Detection
Academic papers often face two major hurdles before submission: high plagiarism rates flagged by detection systems like CNKI or Wanfang, and potential marking as AI-generated by tools. This can lead to paper rejection, damage to academic integrity, and delays in graduation or publication. Traditional methods, such as simple synonym swapping, are frequently insufficient, while raw AI-generated text risks immediate detection. This skill targets these issues by offering tailored rewriting for scholarly content.
How This Skill Works: Core Capabilities and Key Steps
The skill is built on three reference files: references/Core Deweight.md, references/Literature Review.md, and references/AIGC Reduction.md. Its core capabilities include:
- Synonym Replacement: Replacing non-proper nouns while preserving technical terms, data, and citations.
- Sentence Restructuring: Converting between active/passive voice, splitting long sentences, and reordering phrases.
- Sentence Expansion/Contraction: Prioritizing expansion for platforms like CNKI or contraction for others like Gzdada.
- Literature Review Templates: Providing 15 flexible templates specifically for literature review sections.
- AIGC Trace Reduction: Addressing both lexical/sentence layers and structural layers to eliminate AI-generated markers.
The key operational steps are:
1. Confirm Scope: After loading the skill, select the appropriate reference file based on user needs (body paragraphs, literature review, or AIGC reduction).
2. Acquire Text: Users are advised to provide content sentence by sentence or paragraph by paragraph for optimal processing.
3. Process Paragraph-by-Paragraph: Identify the paragraph type, apply relevant strategies for rewriting, and output comparisons between original and revised versions with annotations.
4. Output Format: For each rewrite, clearly display the original and modified text, highlighting key changes and strategies used.
Applicable Boundaries and Key Precautions
When using this skill, adherence to three iron rules is mandatory:
1. Maintain Academic Style: Even if the original text is colloquial, rewriting must revert to formal scholarly language, avoiding slang and internet expressions.
2. Control Word Count Within ±5%: Rewriting involves restructuring, not deletion; data, years, and citations must remain unchanged.
3. Avoid Awkward Expression: Ensure the rewritten text is natural and fluent, preventing translationese or mechanical patchwork.
Additionally, note the pitfalls to avoid: mere sentence inversion or deletion of long sentences is ineffective; a combination of vocabulary replacement and sentence restructuring is required. For encyclopedic concepts, extract only the four key elements (definition, characteristics, function, formula), omitting redundant preamble. This skill serves as an auxiliary tool, with final effectiveness dependent on manual review and adjustment to meet specific academic standards.
Use Cases
- When writing a master's thesis, rewrite theory paragraphs with over 30% plagiarism rate to pass the CNKI detection system.
- Before journal submission, use templates to restructure literature review descriptions to avoid high similarity with existing sources.
- After receiving an AI detection alert on a course paper, apply sentence restructuring to data analysis paragraphs to reduce AI-generated markers.
- While processing a full finance thesis, apply synonym replacement and sentence expansion paragraph-by-paragraph, ensuring word count variation stays within ±5%.
Best For
- Graduate students: Need to reduce plagiarism rate and avoid academic misconduct charges before thesis submission.
- Academic researchers: Rewrite paper paragraphs to meet journal submission standards and ensure content originality.
- Finance and management students: Systematically deweight full-text papers containing theoretical exposition and data analysis.
- Coursework submitters: Quickly modify assignment texts to circumvent plagiarism detection by institutional systems.
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