research-paper-writing

Check that each paragraph carries one explicit message stated in its first sentence, then run reverse outlining: write down the thesis, each topic sentence, and supporting evidence, and verify every paragraph maps back to the thesis. Add transition phrases showing cause, contrast, or consequence between sentences.

Choose one of three templates: challenge then contribution, challenge then insight then contribution, or multiple contributions each paired with its technical advantage. Answer pre-writing questions about the technical problem, contribution, and why the method works before drafting.

Cover five dimensions: contribution novelty, writing clarity, experimental strength, evaluation completeness, and method design soundness. Verify every major claim in the Abstract and Introduction is technically correct and explicitly supported by experimental evidence.

The templates and examples are drawn from ML/CV/NLP-style papers, so they fit those venues best. The general principles like one message per paragraph and claim-evidence alignment transfer to other technical fields, but section templates may need adaptation.

Rejections commonly come from marginal improvements over baselines, missing ablations for key design choices, absent strong recent baselines, or datasets too simple to prove effectiveness. The experiments guide requires comparison, ablation, and generalization evidence tied to each claimed contribution.