Skill UI

This guide provides a strategic framework for drafting highly effective and concise author rebuttals for major AI conferences like AAAI. Given strict character limits, no URLs, and no new results, it teaches authors how to triage reviewer feedback, focus on decision-critical factual errors, and maximize impact to improve paper acceptance chances.

A comprehensive guide for preparing accepted research papers for final submission to major conferences (e.g., AAAI Press). This process covers strict template adherence, deanonymization of author details, managing copyright transfer, optimizing page counts (including purchasing extra technical pages), and ensuring all source files (LaTeX/Word, figures, bibliography) are correctly formatted for professional publication.

A comprehensive guide for structuring and writing high-quality AI research manuscripts intended for major academic conferences (e.g., AAAI). It teaches how to structure the first page for maximum impact, clearly state contributions (method, theory, system, etc.), ensure two-column readability, and address ethical limitations to appeal to a broad, non-specialist committee audience.

This comprehensive guide outlines the meticulous workflow for preparing a research paper for final publication (Camera-Ready) after acceptance at major NLP conferences like ACL. It covers critical steps including de-anonymization (restoring author details and acknowledgements), integrating mandates from meta-reviews, adding required disclosures (e.g., funding, AI assistance), and ensuring all technical metadata, font embedding, and licensing comply with the permanent open-access standards of the ACL Anthology.

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.

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 drafting professional and strategic rebuttals for major academic conferences, such as ACM Multimedia. Learn how to triage reviewer comments, structure arguments for the Area Chair, address factual errors, and incorporate small, confirmatory results while maintaining anonymity and adhering to strict policy guardrails.

A comprehensive guide for authors preparing the supplementary material for multimedia conferences (e.g., ACM MM). It details how to structure the content, separating core arguments (Body) from supporting evidence (Supplement). Learn best practices for packaging videos, audio, and interactive demos, ensuring technical compatibility (H.264/MP4), maintaining anonymity for double-blind review, and creating a legible, reviewer-friendly submission index.

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.

A comprehensive guide detailing the complete academic review pipeline for IEEE/ACM Automated Software Engineering (ASE) submissions. It explains unique stages like the early-rejection gate, the criteria-bound revision process, and the difference between ASE's cycle and those of peer conferences (e.g., ICSE, FSE). Essential reading for authors aiming to submit high-quality research in automatic software engineering.

This guide provides a tactical framework for drafting high-stakes author responses (rebuttals) to peer reviews in top-tier academic conferences. It details how to triage reviewer comments (factual errors, questions, disputes), structure the argument within strict word limits (e.g., 800 words), and maintain a professional, evidence-based tone to maximize the paper's chances of acceptance or major revision.

A comprehensive guide detailing the staged peer review pipeline for top-tier academic conferences. It analyzes stages from rapid screening to major revisions, providing actionable strategies for authors to maximize leverage, address reviewer concerns, and structure rebuttal responses effectively.