ECAI Paper Writing Style Guide
Structures and refines academic AI research papers to meet strict 7-page ECAI conference standards and narrative requirements.
The ECAI Paper Writing Style skill optimizes academic paper drafts for submission to the European Conference on Artificial Intelligence (ECAI). Designed specifically around the rigorous 7-page body limit, this skill ensures contributions resonate with a broad AI audience across symbolic reasoning, knowledge representation, and machine learning. It guides authors through crafting an impactful first-page narrative arc, passing the model-swap generalizability test, matching empirical and theoretical evidence precisely to claim shapes, and enforcing rigorous paragraph-level density discipline.
主な機能
01Evidence-to-claim alignment framework covering proofs, controlled comparisons, and empirical baselines
02First-page narrative arc optimization to present AI problem, gap, contribution, and evidence before the fold
03Model-swap test evaluation to ensure contributions offer lasting general AI insights rather than narrow benchmarks
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05Density discipline editing to maximize impact within strict 7-page conference page budgets
06Standardized evaluation output checklist covering structural rigor, density, and limitation framing
ユースケース
01Drafting and condensing artificial intelligence research papers for ECAI conference submissions
02Auditing draft papers for claim-evidence matching and removing non-essential narrative filler
03Restructuring introduction sections to highlight core AI contributions instead of raw application benchmarks