本期推文为科研人整理了20个GPT-5的论文初稿优化提示词，从学术规范到深度优化，帮你避开无意义的文字堆砌，高效解决论文润色、降重难题，提升论文质量。
一、学术规范1.参考文献格式统一
核查参考文献标注格式，确保APA第七版规范的一致性，避免同一篇论文中出现多种引用格式。
Standardize reference citation formats to ensure consistency with APA 7th edition standards, avoiding multiple citation styles within the same paper.
2.变量定义标准化
完善变量定义的数学符号系统，消除不同章节间的表述歧义，建立统一的符号索引表。
Optimize the mathematical symbol system for variable definitions, eliminate ambiguities across chapters, and establish a unified symbol index.
3.统计学术语校验
验证统计学术语使用的准确性（如p值表述需区分< 0.05和≤0.05），确保统计报告符合国际标准。
Verify the accuracy of statistical terminology usage (e.g., distinguish between p < 0.05 and p ≤ 0.05) and ensure statistical reporting meets international standards.
4.字符格式统一
统一全文字符格式（单位使用国际标准符号），避免格式不一致影响专业性。
Standardize character formats throughout the text (use SI international standard symbols for units) to maintain professional consistency.
5. 研究局限性论述
加强研究局限性的辩证论述，采用"局限性识别→影响评估→改进建议"三层递进结构。
Strengthen the dialectical discussion of research limitations using a three-tier progressive structure: limitation identification → impact assessment → improvement suggestions.
二、润色优化6.逻辑连接强化
提升跨章节逻辑连接效果，使用过渡句如"基于前述理论框架，本研究提出以下假设"建立章节间的有机联系。
Enhance cross-chapter logical connections using transitional phrases like "Based on the aforementioned theoretical framework, this study proposes the following hypotheses" to establish organic links.
7.术语规范化处理
对实验方法描述实施学术术语规范化，如将"做实验"改为"开展实验研究"，符合【IEEE】发表标准。
Standardize experimental method descriptions with academic terminology, e.g., change "do experiments" to "conduct experimental research," complying with IEEE publication standards.
8.批判性分析深化
加强文献综述部分的批判性分析厚度，采用"理论梳理→争议识别→观点评价→研究缺口"四步分析法。
Deepen critical analysis in literature review using a four-step approach: theoretical sorting → controversy identification → viewpoint evaluation → research gap analysis.
9.表达方式学术化
将口语化表达转换为学术书面语，建立常用词汇转换对照表，如"很重要"→"具有重要意义"。
Convert colloquial expressions to academic writing using a vocabulary conversion reference, e.g., "very important" → "holds significant importance".
10.图表解读优化
完善数据可视化描述，确保图表标题、说明文字与正文分析形成有效呼应，避免重复表述。
Refine data visualization descriptions to ensure effective correspondence between chart titles, captions, and main text analysis while avoiding redundant statements.
三、降重改写11.同义替换与句式重构
对连续重复的12字以上片段进行同义替换，建立领域专业术语同义词库，保持语义准确性。
Perform synonym replacement for continuous repeated phrases of 12+ characters, establishing a domain-specific synonym database while maintaining semantic accuracy.
12.语态转换
将被动语态集群转换为主动语态，通过调整主语位置（如"数据被分析"→"研究团队分析数据"）降低重复率。
Convert passive voice clusters to active voice by adjusting subject positions (e.g., "data were analyzed" → "the research team analyzed data") to reduce repetition.
13.句式拆分
拆分嵌套复合句为简单句组合，采用"一句一意"原则，例如将"由于...因此...而且..."拆分为三个独立句子。
Split nested complex sentences into simple sentence combinations using the "one idea per sentence" principle, e.g., breaking "Due to...therefore...moreover..." into three independent sentences.
14.段落结构重组
重组段落结构采用"主题句→支撑句→过渡句"模式，运用"总-分-总"论证框架降低文本相似度。
Reorganize paragraph structures using "topic sentence → supporting sentences → transitional sentence" pattern with "general-specific-general" argumentation framework.
15.概念迁移
运用概念迁移法改写理论表述，建立概念替换词典，如"社会资本"→"关系网络资源"，"创新能力"→"创新驱动力"。
Apply concept migration to rewrite theoretical expressions, establishing a concept substitution dictionary, e.g., "social capital" → "relational network resources".
四、深度优化16.理论模型构建
构建多维度理论模型体系：概念层面的理论基础+方法层面的研究设计+实证层面的数据验证。
Construct a multi-dimensional theoretical model system: theoretical foundation at conceptual level + research design at methodological level + data verification at empirical level.
17.因果关系优化
完善假设推导的因果逻辑链条，运用结构方程模型路径分析，明确"前因→中介→后果"因果机制。
Optimize causal logic chains in hypothesis derivation using structural equation modeling path analysis, clarifying "antecedent → mediator → consequence" causal mechanisms.
18.多学科交叉融合
增强跨学科分析深度，采用"核心学科+辅助学科+边缘学科"三层交叉分析框架，提升理论贡献原创性。
Enhance interdisciplinary analysis depth using a three-tier cross-analysis framework: core discipline + auxiliary disciplines + peripheral disciplines to increase theoretical contribution originality.
19.政策建议层次化
重构政策建议的递进体系：微观层面的具体操作→中观层面的制度机制→宏观层面的战略布局。
Restructure policy recommendations into a progressive system: micro-level specific operations → meso-level institutional mechanisms → macro-level strategic planning.
20.反事实论证
增加研究设计的反事实推理，运用双重差分法（DID）和倾向评分匹配（PSM）强化因果推断效度。
Incorporate counterfactual reasoning in research design, using Difference-in-Differences (DID) and Propensity Score Matching (PSM) methods to strengthen causal inference validity.
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