Skill UI

This guide teaches authors how to structure scientific manuscripts by correctly partitioning core findings, decisive evidence, and the main narrative into the body text, while moving exhaustive datasets, full protocols, and secondary characterization into the Supporting Information (SI). It ensures the main paper is stand-alone and convincing.

This comprehensive guide provides best practices for structuring appendices and supplementary materials for high-level academic journals. It helps authors manage the balance between main text conciseness and academic completeness by clearly defining what belongs in the core narrative (main findings) versus what should be reserved for the supplementary section (detailed proofs, extended experiments, raw data, and multimedia).

This guide helps researchers assess the optimal venue for their work, determining if their project aligns best with AISTATS, or if it is better suited for major ML conferences (NeurIPS, ICML, ICLR), UAI, or specific statistics journals. It emphasizes the need for strong statistical foundations, inference guarantees, and the unique intersection of AI, ML, and statistics before starting the writing process.

This guide helps researchers structure their discussion section and manuscript to explicitly articulate the theoretical contribution, moving beyond simple results reporting. It teaches how to identify, claim, and frame various types of theoretical advancements (e.g., new mechanisms, boundaries, or integrating literatures), ensuring the paper meets the high standards of top-tier academic journals like AMJ.

This guide teaches researchers how to articulate the core conceptual contribution of their work, especially for manuscripts in Accounting, Organizations, and Society (AOS). It moves beyond simply reporting findings or extending literature, helping the user synthesize solid evidence into a single, compelling, and conceptually deep claim that shifts the field’s understanding of accounting's social or organizational mechanisms. It is essential for structuring the discussion section's intellectual payoff.

This guide details how to audit and position security research submissions for premier academic venues like CCS, S&P, USENIX, and NDSS. It teaches authors to structure their 'Related Work' section by comparing their novelty against the 'security big four,' specialist literature, and real-world practitioner records (such as CVEs and vendor advisories). The goal is to clearly articulate the technical delta and eligibility for publication.

A comprehensive guide for authors planning research submissions to top-tier academic security conferences like CCS. It details the two-cycle HotCRP workflow, decision criteria, and strategic advice on addressing threat model soundness, novelty, evidence quality, and crucial ethical disclosure concerns across all stages, from initial review to minor revision.

A comprehensive guide for structuring and refining the literature review section of academic manuscripts for top-tier finance and economics journals. It covers the mandatory three-layer structure (Theory, Empirical Evidence, Contribution Gap), optimal Chinese/English citation ratios, and techniques for developing a 'dialogue-based' narrative rather than a simple list, ensuring clear positioning relative to the field's classic theories and recent publications.

This guide details best practices for structuring and writing the "Related Work" section for top-tier Human-Computer Interaction (HCI) conferences like CHI. It emphasizes moving beyond mere literature inventory to actively positioning your contribution by identifying research gaps across various disciplinary lanes (e.g., Psychology, Design, HCI family). Following these guidelines is crucial for avoiding desk rejection due to insufficient contextualization.

This guide provides comprehensive guidelines for formatting academic manuscripts, specifically for Critical Inquiry (CI) submissions. It strictly adheres to the Chicago Manual of Style (17th ed.), mandating the use of consecutively numbered footnotes and eliminating the need for a separate works-cited list. It also covers best practices for submitting high-resolution figures (300 ppi JPEG/TIFF) and managing citations to ensure they contribute effectively to the word count and scholarly argument.

A comprehensive guide on structuring and writing the 'Related Work' and literature review sections for high-impact, comprehensive computer science journals. It emphasizes establishing the research gap (the 'delta'), structuring comparisons (Classification-Comparison-Gap), balancing literature coverage (classic vs. modern, local vs. global), and adhering to academic citation norms (e.g., GB/T 7714). Essential for authors needing to clearly define their novelty in a cross-disciplinary context.

This guide provides detailed rules for structuring long-form academic papers submitted to the Chinese Journal of Computers (CJC). It teaches authors how to strategically divide content into the main text, appendices, and supplementary materials. The core principle emphasizes that all decision-making evidence required for acceptance must reside in the main manuscript, while supporting details, full proofs, and extra tables belong in supplementary sections.