Skill UI

A comprehensive guide to modeling the entire academic review cycle for major NLP conferences like ACL. It details the stages from initial submission (ARR cycle intake) through peer review, author response, meta-review synthesis, commitment decision, and final venue decision (Main Conference, Findings, or Reject). It also outlines the roles of reviewers, area chairs, and program chairs, providing strategic advice for authors on navigating the complex publication landscape.

A comprehensive audit checklist for authors submitting papers to major NLP conferences (like ACL) via OpenReview. This guide covers mandatory formatting rules, maintaining anonymity, addressing ethical declarations (Responsible NLP), managing resubmission links, and ensuring adherence to the entire submission workflow to prevent desk rejection.

A comprehensive guide for authors preparing submissions for ACL conferences. It details how to effectively split content across the main body, required Limitations section, optional Ethics statement, and supplementary archives. Learn best practices for ensuring critical findings remain visible to reviewers, maximizing reproducibility, and structuring appendices for maximum impact.

A comprehensive guide for NLP researchers on strategically positioning their work before writing. It teaches how to determine the core linguistic contribution, select the optimal academic venue (ACL, EMNLP, etc.), manage the scope (long vs. short papers), and align the research focus with specific conference themes and review expectations, maximizing publication impact.

This comprehensive guide provides a project management framework for publishing academic papers at major conferences like ACL. It details the complex "cycle-and-commit" rhythm, covering milestones from initial ARR submission through review, meta-review, commitment, camera-ready preparation, and final presentation. Learn techniques for backward planning, managing resubmission loops, and coordinating multiple papers across volatile academic cycles.

A comprehensive guide for authors targeting top Human-Computer Interaction (HCI) conferences like CHI. It helps authors position their manuscripts, define required contribution types (e.g., system, dataset, empirical finding), and structure the paper to meet the rigorous standards of human-centered computing reviewers, focusing on user experience and design implication.

This skill serves as a comprehensive guide for positioning networking research for the ACM CoNEXT conference. It helps authors assess the manuscript's fit, structure the paper for optimal impact, and ensure the evidence (measurement, prototype, protocol) meets the rigorous standards of top-tier CS venues. Use this tool when re-framing journal-style or arXiv papers for conference submission.

This comprehensive guide helps authors strategically position their computer security manuscripts for the ACM Conference on Computer and Communications Security (CCS). It details topic fit, required threat modeling, evidence presentation, and critical comparisons with sister venues (e.g., S&P, USENIX Security). It serves as a high-level 'fit/framing' tool for maximizing submission success in core areas like privacy, cryptography, and systems security.

A comprehensive guide for authors assessing the fit of their computer science manuscript for the ACM CSCW conference. It provides expert advice on positioning, required evidence (empirical depth, design implications), scope vocabulary (collaboration systems, social platforms), and structuring the paper to maximize acceptance chances in social computing venues.

A specialized guide for authors targeting the ACM Conference on Fairness, Accountability, and Transparency (FAccT). It helps authors strategically frame their responsible AI research, ensuring claims are rigorously grounded in both technical measurement and social context. Covers necessary evidence bars, scope calibration, and submission best practices for this niche venue.

A comprehensive guide for authors targeting the ACM Conference on Intelligent User Interfaces (IUI). This skill helps evaluate manuscript fit, refine scope, understand evidence requirements, and strategically position papers related to AI-infused interaction, adaptive systems, and user modeling for top-tier HCI venues.

This comprehensive guide assists authors in evaluating the suitability, framing, and structural requirements for submitting research on wireless, mobile, IoT, sensing, and network security/privacy to the ACM WiSec conference. It provides critical expertise on aligning the paper's contribution type, threat model, and evidence standards with top-tier academic conference expectations, ensuring the work emphasizes the physical or network context.