Skill UI

A comprehensive guide detailing the submission rules and best practices for supplementary materials, including videos, appendices, code, and data, for top-tier robotics conferences. It outlines distinct submission channels, strict technical requirements (e.g., 250MB video cap, anonymity), and the necessary transition steps from the review phase to the final camera-ready publication format.

This guide details best practices for enhancing the credibility of academic manuscripts submitted to scholarly journals, particularly addressing code and data availability. It teaches authors how to proactively provide stable links, checksums, comprehensive reproducibility scripts, and clear licensing statements. The focus is on bolstering trustworthiness for single-blind review processes, even when the journal does not mandate formal artifact badges.

A comprehensive guide for authors submitting research to CVPR, detailing best practices for packaging code, models, and datasets. It covers requirements for review-time reproducibility (sealed-box rules) and long-term public release (licensing, provenance, and version pinning), ensuring that the work is runnable by any skeptical third party.

This guide provides crucial advice for authors submitting to conferences with severe page limitations, such as DAC. It teaches the 'decision-criticality test' to help authors allocate content, ensuring that only core, review-mandated arguments remain in the main body, while supporting details and code can be moved to external repositories.

A comprehensive guide for preparing research artifacts (code, data, prompts, models) for EACL submissions. It details the two stages: an anonymized supplement for the initial review (ARR) and a fully licensed, public release for post-acceptance. Emphasis is placed on reproducibility, responsible NLP practices, and proper documentation.

This guide provides expert advice on structuring academic research papers, specifically tailored for EACL submissions. It details the optimal placement of core arguments, limitations, findings, and supplemental code across the content body, appendices, and supplementary archives, ensuring that decision-critical information is always visible to reviewers.

A comprehensive guide for authors submitting to major AI conferences (like ECAI). It teaches the critical skill of separating core, decision-critical arguments (must be in the main body) from supporting details, proofs, and code (which belong in the optional supplement). This ensures reviewers can fairly judge the contribution despite strict page limits.

This guide provides a detailed strategy for managing and releasing research artifacts (code, models, data) associated with a vision paper submitted to ECCV. It covers two critical phases: the sealed, anonymous archival submission during review, and the structured public release runway post-acceptance, ensuring reproducibility and adherence to conference policies.

A comprehensive guide for authors preparing manuscripts for submission to The Economic Journal (EJ). It covers format requirements, single-blind review guidelines, author-date referencing, JEL codes, data/code policy (Zenodo), and the detailed submission process via Editorial Express. Use this checklist for the final mechanical gate check before submission.

This guide outlines the creation of a complete, verifiable research package for economic policy manuscripts. It ensures that all empirical, experimental, or simulation results are fully reproducible by providing raw data guides, cleaning scripts, analysis code, and a single 'master' script that runs end-to-end. This process is critical for academic acceptance, allowing reviewers and discussants to independently verify every figure, table, and key number reported in the paper.

This comprehensive guide outlines the strict requirements for preparing replication and data packages for submission to The Econometrics Journal (EctJ). It covers everything from README structure and detailed code inclusion to ensuring Monte Carlo determinism and managing restricted data, ensuring the method's credibility for reviewers.

This comprehensive preflight checklist guides researchers through the final essential steps before submitting a manuscript to the European Economic Review (EER). It ensures adherence to Elsevier formatting standards, addresses mandatory replication policies (data/code availability), verifies funding declarations, and confirms all necessary fees and ethical statements are in place. Use this guide as the ultimate final check before pressing submit.