How to use AI for the final polishing and optimization of papers?

AI significantly enhances paper polishing by refining language, structure, and clarity through computational text analysis. It offers efficient final-stage improvements before submission. Key principles involve leveraging AI tools for grammar and syntax correction, ensuring stylistic consistency tailored to the target journal, improving readability metrics, checking terminology consistency using NLP techniques, and identifying vague phrasing. Strict human oversight remains essential to verify factual accuracy, preserve original scholarly nuance, and prevent over-standardization that might dilute the author's voice. AI outputs should always be critically reviewed, not blindly accepted. Practical implementation follows these steps: First, input the near-final draft into specialized AI writing assistants like Grammarly Pro, Wordtune, or GPT-4. Second, systematically address AI-generated suggestions on conciseness, transitional phrases, active/passive voice balance, and jargon reduction. Third, validate critical terminology alignment using custom termbank features. Finally, meticulously compare the revised text against the original for fidelity, ensuring all AI-assisted changes enhance rather than distort meaning. This cascade of refinement boosts precision, coherence, and perceived professionalism.