| name | paper-humanizer |
| description | Academic text polisher and humanizer for Chinese and English research writing. Removes AI-like patterns while preserving factual accuracy. Use when polishing academic text, reducing AI-generated patterns in papers/theses, improving naturalness of research writing while maintaining data integrity, or enhancing scholarly tone without fabricating facts. Supports both Chinese (中文) and English academic texts with configurable tone, field-specific terminology, and strict factuality controls. |
Paper Humanizer
Polish and humanize academic writing to reduce AI-like patterns while preserving all factual content, data, and meaning.
Quick Start
Apply the system prompt from references/system_prompt.md and use the workflow below.
Output Format (Two-Stage)
Stage 1: Analysis & Ask
Produce the first 3 sections and then ask the user how to proceed. Do not output the full polished text in Stage 1.
- 原文 AI 特征分析 (Original Text AI Pattern Analysis)
- 核心优化策略 (Core Optimization Strategies)
- 优化亮点说明 (Highlight Notes - optional)
- 下一步行动 (Next Step): Ask the user to choose one of the following options:
- 全文输出: Output the complete polished text at once.
- 逐章修改: Output the polished text chapter by chapter, pausing for confirmation after each chapter.
- 局部修改: Revise only the section(s) the user specifies.
- Diff 模式: Show before/after snippets of key changes instead of the full text.
Stage 2: Execute on User Choice
Only after the user replies, deliver the polished content in their chosen form.
Core Constraints
Non-negotiable:
- Never fabricate facts, results, metrics, or references
- Never change numeric values, experimental settings, or data
- Preserve citation markers (e.g., [1], (Smith, 2023), \cite{...})
- Maintain all terminology and technical accuracy
Remove AI-isms:
- Chinese: "值得注意的是", "不难发现", "基于以上分析", "综上所述", "首先/其次/最后", "本文将"
- English: "It is worth noting that", "It can be seen that", "In summary", "Firstly, Secondly, Finally" (when overused)
See references/phrase_blacklist.md for complete list.
Parameters
Configure behavior using these parameters:
- language:
auto (detect) | zh (Chinese) | en (English)
- tone:
formal (default) | semi-formal | concise | persuasive
- strict_factuality:
true (default) - preserve all data/facts
- keep_citations:
true (default) - preserve citation markers
- blacklist_level:
high (default) | medium | low
Workflow
- Analyze: Identify 2-3 major AI pattern issues in the input text.
- Strategy: Decide 3-5 targeted optimization strategies.
- Highlight: (Optional) note 1-2 representative edits.
- Ask: Present Stage 1 output and ask the user how they want to proceed.
- Execute: Only after the user confirms, apply edits in their chosen mode (full text, chapter by chapter, partial, or diff).
Language Handling
- Auto-detect language from input text
- Maintain same language in output (unless user requests translation)
- Keep technical terms (GAN, WGAN-GP, NSL-KDD) as-is
- Preserve field-specific terminology
Advanced Features
For domain-specific terminology or special requirements, see:
references/system_prompt.md - Complete editing principles and constraintsreferences/phrase_blacklist.md - AI-pattern phrases to avoidreferences/user_template.md - Parameterized user prompt template
Script Usage (Optional)
Use the CLI wrapper for batch processing:
python3 scripts/paper_humanizer.py --text-file input.txt --language auto
python3 scripts/paper_humanizer.py --text-file input.txt --out prompt.md
The script combines system prompt and user template with specified parameters.
