Skill UI

A comprehensive coach designed to guide students and researchers through the entire scholarly writing lifecycle. This skill covers structuring complex academic works—including research papers (IMRaD), theses, dissertations, grant proposals, and conference abstracts. It teaches fundamental writing principles, proper source integration, avoiding plagiarism, and navigating diverse citation styles (APA, MLA, Chicago, GB/T 7714), helping users develop an independent, professional academic voice.

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.

This guide provides a comprehensive pre-submission audit checklist for AAAI conference technical papers. It covers crucial aspects like double-blind anonymity, page limits, reproducibility requirements, author policies, and adherence to the latest AI-use guidelines. Use this before submitting to mitigate risks of desk rejection or policy violation.

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.

A comprehensive guide for authors transitioning an accepted, anonymous conference submission into the final, public camera-ready version for publication. It covers de-anonymization steps, including restoring author details, updating proceedings metadata, reflowing figures for multiagent papers, and integrating rebuttal promises without expanding the core contribution. This ensures adherence to strict publishing standards.

A comprehensive guide for authors on drafting a strategic response during the OpenReview cycle. This resource covers how to address reviewer objections, shape the Area Chair's meta-review summary, manage the discussion phase, and decide whether to defend the paper or withdraw for a future revision cycle. Focus on clarity, conciseness, and evidence-based arguments.

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.

This guide provides authors with a comprehensive framework for positioning technical manuscripts for the ACM Interactive Surfaces and Spaces (ISS) conference. It covers essential areas like defining scope, aligning hardware evidence with interaction techniques, optimizing the narrative structure, and understanding the specific community expectations for spatial and tangible computing.

This comprehensive guide details the essential steps required to transition an accepted, anonymous conference paper into the final, public 'camera-ready' version for major academic publications like ACM MM. It covers de-anonymization, completing ACM eRights forms, incorporating CCS concepts, releasing permanent code/data artifacts, and preparing for the final presentation.