Skill UI

This tool guides authors to assess whether their management or organizational research manuscript is suitable for the Academy of Management Review (AMR). It focuses on the journal's pure-theory nature, providing detailed checks on conceptual novelty, logical rigor, structural requirements, and identifying potential desk-reject risks for non-empirical, theory-building papers.

A comprehensive guide for packaging and submitting evidence packages (artifacts) for NLP research papers, such as code, datasets, prompts, and model outputs. It details requirements for reproducibility, adhering to the Responsible NLP checklist, ensuring proper anonymization, and preparing for post-acceptance public release in academic settings like ACL.

A comprehensive guide for researchers designing and auditing NLP experiments for top-tier conferences. It covers establishing defensible baselines, ensuring evaluation breadth, performing rigorous statistical tests (significance, variance), controlling for data contamination, and structuring detailed functional error analysis. Essential reading for publishing reliable AI research.

A comprehensive guide detailing the standards required for academic reproducibility in NLP and LLM research. It covers the 'Responsible NLP checklist' requirements, including detailed reporting for hyperparameters, model versions, exact prompts, decoding parameters, data contamination auditing, and variance reporting to ensure claims are auditable and robust.

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 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.

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.

A specialized guide for positioning academic manuscripts for the ACM MobileHCI conference. It helps authors refine their paper's focus, evidence structure, and narrative to match the unique requirements of mobile interaction, wearable interfaces, and on-device sensing. This tool acts as a fit/venue-selection tool, guiding the structuring of the contribution, evidence, and scope to meet top-tier conference standards.

This skill guides authors on positioning their research for the ACM International Conference on Tangible, Embedded, and Embodied Interaction (TEI). It functions as a venue-selection and re-framing tool, helping authors structure manuscripts (moving from general CS/journal style to a specialized tangible interaction narrative). It covers scope fit, evidence requirements, and distinguishing TEI from similar HCI conferences.

A comprehensive guide for authors targeting ACM SIGACCESS Conference on Computers and Accessibility (ASSETS). This skill helps determine manuscript fit, provides strategies for re-framing work from other disciplines (e.g., journal or arXiv style), and details the required evidence (e.g., community-grounded framing, ethical evaluation) needed to succeed in this specialized venue. Use it for venue selection, scope calibration, and submission readiness checks for accessible technology research.

This skill guides authors writing about programming languages, software systems, and PL applications on how to assess if their manuscript is a suitable fit for the OOPSLA conference. It provides strategies for reframing papers, defining the required evidence (empirical, formal, or tool-based), and positioning the work against established CS research standards for top-tier systems conferences.