Skill UI

This comprehensive guide outlines the entire end-to-end workflow for submitting and presenting at ACM Multimedia (ACM MM). It breaks down the complex process into distinct phases—from initial thematic scoping and track selection, through the OpenReview abstract submission, paper and supplement delivery, rebuttal, decision, camera-ready preparation, and final conference presentation. It provides actionable advice, risk mitigation strategies, and re-targeting options for both success and rejection.

This guide provides a comprehensive model of the academic review process used at FAccT. It details the interdisciplinary nature of the review panel (CS, law, social science), the OpenReview workflow, and the strategic implications of the 'Accept/Revise/Reject' decision set. It guides authors on navigating the stages, including rebuttals and revise-and-resubmissions.

A comprehensive guide for authors on drafting strategic responses to conference reviews (e.g., ICLR OpenReview). It covers differentiating public vs. restricted comments, structuring rebuttals, addressing specific concerns (novelty, reproducibility), and maintaining professional communication standards for permanent records.

This guide outlines best practices for structuring academic papers submitted via OpenReview, particularly for venues like ICLR. It advises authors on where to place different types of evidence—such as core claims, full derivations, code, and large datasets—to ensure the central argument remains visible while maintaining academic rigor. It covers strategies for managing annexes, maintaining anonymity, and updating revisions.

This skill acts as a comprehensive router for the NeurIPS academic workflow. It guides users through every stage of preparing a machine learning manuscript, from initial topic and track selection to writing, mandatory paper checklist completion, OpenReview submission, handling the double-blind review process, and finalizing the camera-ready version. It helps ensure the manuscript is robust, evidence-backed, and adheres to all conference policies.

This comprehensive pre-upload audit guide ensures submissions meet the strict technical and anonymity requirements for UAI OpenReview. It covers critical aspects like the 8-page main body constraint, combining all content into a single PDF, handling file size caps (15MB/50MB), and performing an identity sweep to maintain double-blind review standards.

A comprehensive audit guide for authors submitting to WACV. It covers critical submission decisions, including choosing between Round 1 or Round 2, selecting the appropriate Applications or Algorithms track, adhering to the 8-page limit, maintaining double-blind anonymity, and ensuring all coauthors have valid OpenReview profiles to prevent desk rejection.