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 revising NLP and Computational Linguistics manuscripts for submission to top-tier conferences like ACL. It mandates adopting a task-first, evidence-grounded approach, strictly scoping claims in the LLM era, and ensuring linguistic rigor in all examples and analyses. Learn how to structure, compress, and refine your arguments for maximum impact.

A comprehensive tool for authors targeting the ACM Asia Conference on Computer and Communications Security (ASIACCS). It provides expert guidance on assessing whether a computer and communications security manuscript is a strong fit for this specific, high-impact venue. Topics covered include conference fit assessment, evidence bar establishment, manuscript re-framing strategies, threat modeling, and proper community positioning for maximum review impact.

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.

This guide helps researchers strategically position their manuscripts for top-tier venues like ACM DIS. It provides deep insight into the required scope, contribution types (e.g., design artifacts, methods, theory), evidence standards (e.g., controlled study, field deployment), and necessary framing adjustments to ensure the work aligns perfectly with the conference's community expectations. Use this tool for venue selection, manuscript re-framing, and submission strategy.