Skill UI

A comprehensive guide for authors submitting to major AI conferences (like ECAI). It teaches the critical skill of separating core, decision-critical arguments (must be in the main body) from supporting details, proofs, and code (which belong in the optional supplement). This ensures reviewers can fairly judge the contribution despite strict page limits.

This guide provides essential structural advice for authors writing high-impact research papers for top-tier AI conferences. It covers the 'first-page arc,' ensuring the contribution is generalizable (not model-specific), matching evidence types (proofs vs. empirical data) to claims, and maintaining narrative density over a limited page count. Perfect for researchers preparing submissions.

A comprehensive guide on how to structure and write a high-impact academic rebuttal for top-tier conferences like ECCV. It advises authors on strategic space management, prioritizing the rebuttal of misreadings, conceding limitations gracefully, and preparing arguments specifically for the Area Chair (AC) discussion, ensuring the limited page count is used efficiently.

A comprehensive guide for authors preparing their accepted ECCV papers for multiple publication venues, including Springer LNCS, ECVA open-access portals, and arXiv. It details critical steps such as managing page budgets, ensuring metadata accuracy, fulfilling rebuttal promises, and adhering to strict publication deadlines.

A detailed auditing guide for submitting to major academic conferences, such as ECCV. It covers critical aspects including multi-stage submission deadlines (CET timezone), strict LNCS formatting rules (14 pages single-column), policy adherence (dual-submission, embargo rules), and pre-upload checks to mitigate rejection risks. Essential for researchers managing academic publishing workflows.

A comprehensive guide for drafting and compressing academic manuscripts, focusing on strict formatting constraints (e.g., LNCS single-column, 14-page limit) typical of major conferences like ECCV. Learn how to structure your paper, optimize the first page for non-specialists, and phrase claims to withstand rigorous peer review and rebuttal.

This guide outlines best practices for submitting theoretical econometrics manuscripts to ET. It addresses how to handle extensive proofs, auxiliary lemmas, and simulation results that exceed page limits. The core focus is utilizing the voluntary Supplementary Material policy to ensure full reproducibility and transparency without requiring mandatory data or code archives.

This comprehensive checklist guides researchers through the detailed formatting and technical requirements for submitting manuscripts to the Econometric Theory journal via ScholarOne/Manuscript Central. It covers critical points such as creating a single embedded-font PDF, adhering to APA author-date referencing, maintaining single-anonymous identity, and managing the article length ceiling (50 pages). Use this before final submission to avoid common rejection reasons.

A comprehensive guide for positioning econometric research papers for submission to The Econometrics Journal (EctJ). It emphasizes making the novelty legible to both econometricians and applied users by focusing on a leading-case contribution within a stringent 20-page limit. Techniques include defining the 'Frontier layer' and 'Use layer' of related work, and placing citations strategically to maximize impact and demonstrate a sharp, applied delta.

This comprehensive guide details the critical steps required before submitting a scholarly paper to Econometrics Journals (EctJ). It covers technical compliance, including adherence to specific LaTeX templates, managing page limits, optimizing summary word counts, correctly placing mathematical proofs, and addressing crucial administrative details like funding disclosure and submission fees. Use this checklist immediately prior to submission to ensure maximum readiness and minimize rejection risks.

This guide provides strict guidelines for authors submitting econometrics papers, detailing how to strategically compress, optimize, and structure academic exhibits (tables, figures, simulations). It ensures that critical results and diagnostic information are presented clearly within tight page constraints, maximizing impact while adhering to journal standards.

A highly specialized guide for revising academic econometrics manuscripts for submission to top journals like EctJ. It focuses on extreme conciseness, structural adherence (e.g., 150-word summaries, 20-page limits), and maximizing the impact of core findings over background detail. This skill helps authors transform diffuse research into compact, publishable, and highly focused academic prose.