Academic Paper Natural Rewrite Tool

The Problem: Formulaic Language in Academic Writing

A prevalent issue in Chinese academic writing, particularly in theses and journal articles, is overly mechanical, formulaic expression. In pursuing stylistic conformity, authors may unconsciously stack fixed phrases like “综上所述” (In summary) or “值得注意的是” (It is worth noting), resulting in stiff text and poor readability. Concurrently, some authors, concerned about AIGC detectors, may produce text that awkwardly oscillates between natural and machine-like tones. The core problem this skill addresses is: how to systematically polish text without altering its core academic content, making the expression align more with natural human thought and scholarly conventions.

How the Skill Works: Fine-Tuning and Restructuring

This skill is fundamentally an instruction set for academic text fine-tuning. It performs highly controlled “restructuring” rather than rewriting. Its core capabilities manifest in several key steps:

1. Structural Polishing: The skill first analyzes sentence structure, improving readability by adjusting word order (e.g., moving adverbials forward), switching between active and passive voice, splitting long sentences, or merging short ones, all without changing the original meaning.
2. De-formulaic Transitions: It systematically replaces high-frequency formulaic connectors like “首先、其次、最后” (First, secondly, finally). Depending on the context, it employs more natural transitions like “一方面、另一方面” (On one hand, on the other), “从……来看” (From the perspective of...), or even relies on semantic coherence to replace explicit connectors.
3. Vocabulary and Expression Optimization: Within an academic register, it replaces rigid terms like “本研究” (this research), “阐述” (elucidate), and “依据” (basis) with more commonly used, natural alternatives like “本文” (this paper), “说明” (explain), and “根据” (according to). It moderately adds functional words like “的、了、过” (de, le, guo) for smoother flow but avoids overuse.
4. Strict Constraint Rules: This is the most critical aspect. The skill enforces mandatory “preservation” and “prohibition” lists. All professional terminology, model names, algorithms, metrics, formulas, English abbreviations, citation markers (e.g., [1]), and numerical conclusions must remain exactly as in the original. It is strictly forbidden to fabricate new experimental data, methodological details, or literature citations. These constraints ensure the polishing process does not compromise academic rigor.

Applicability Boundaries and Important Considerations

Using this skill requires a clear understanding of its boundaries—it is not a universal “paraphrasing” or “detection evasion” tool:

• Core Purpose: Its fundamental aim is to enhance text quality—making it more fluent, logically clear, and naturally expressed—not to pass any specific AIGC detector. User requests should explicitly target polishing or optimization.
• Absolute Red Lines: It must never be used for “evading detection.” If a user makes such a request, the skill is programmed to redirect the task toward the compliant goal of “improving academic writing quality.”
• Input/Output Format: The skill expects specific paper paragraphs as input and outputs in a fixed format: 原文 (Original): 修改后 (Revised): 修改原因 (Reason for Change):, allowing authors to review the rationale behind each edit.
• Style Balance: The target adjustment is a balance of approximately 70% academic convention and 30% natural expression, avoiding a drift towards overly colloquial language (e.g., using “我们” (we) or “这块儿” (this part)) while also rejecting excessive embellishment.

In essence, this is a precision tool designed for rigorous scholarly creation. It performs a naturalistic reconstruction of the text’s “surface” through a detailed set of linguistic engineering rules, while safeguarding all factual and academic elements of the thesis.