Skill UI

A comprehensive guide for auditing and improving the scientific rigor of hardware architectural evaluations (e.g., HPCA style). It emphasizes establishing a clear 'fidelity contract' defining tools, scope, and configurations. It requires that all performance claims are backed by credible instruments, mandates capturing full machine state provenance, ensuring honest baseline tuning, and reporting results via per-workload distributions rather than single means.

This guide outlines the rigorous methodology for ensuring that computational research results, especially those involving hardware architecture and simulation, are fully reproducible. It emphasizes pinning the entire result chain—from simulator commits and configuration files to workloads, sampling recipes, and statistics scripts—and mandates creating a manifest for every figure. Key practices include recording machine state for silicon runs and containerizing the environment to prevent data drift.

This comprehensive guide serves as an audit checklist for authors preparing submissions for ICALP (EATCS International Colloquium). It covers crucial academic submission logistics, including selecting the correct track (A or B), understanding the two-step deadline process (abstract registration and full submission), adhering to the 15-page body limit, and executing lightweight double-blind anonymity checks to prevent identifying metadata leaks. Essential reading before final upload.

This comprehensive guide serves as a pre-flight audit checklist for major academic conference submissions, specifically targeting ICCV. It covers critical process areas, including the single-day upload requirement, strict page budget adherence, maintaining double-blind anonymity, vetting OpenReview fields, and identifying potential identity or formatting leaks. Use this to prevent desk rejection before the deadline.

This comprehensive guide provides best practices for packaging supplemental materials and artifacts for top-tier academic conferences like ICDE. It instructs authors on how to build a robust, reproducible evidence chain, including parameterized workload generators, configuration scripts, and detailed logs. The goal is to ensure that reviewers can quickly and accurately validate all performance claims and technical contributions, making the work 'turnkey' and verifiable.

A comprehensive project management guide for submitting data-intensive systems papers to ICDE. It details the two-round submission cycle, setting milestones from initial evidence locking (mechanisms, workloads) to final IEEE Xplore publication. This workflow helps researchers backward-plan the entire data-engineering lifecycle, budgeting time for revisions and mitigating common submission risks.

Provides crucial guidelines for structuring research papers submitted to ICDM. It details how the 10-page IEEE limit must accommodate the body, in-cap appendices, and references, while effectively offloading bulk material (code, full logs) to an external repository. Essential for avoiding rejection due to page overruns.

A comprehensive audit guide for authors preparing submissions for the International Conference on Database Theory (ICDT). This guide covers critical aspects including selecting the correct submission cycle, adhering to the two-step abstract-then-paper deadline, meeting the LIPIcs formatting standards (15 pages excluding references), ensuring complete and verifiable proofs, and maintaining strict anonymity since 2024. Use this before uploading to Microsoft CMT.

A comprehensive strategic guide for authors targeting top-tier microarchitecture conferences like MICRO. It covers core topics, required evidence (baselines, workloads, mechanisms), structural expectations, and common pitfalls, ensuring submissions are framed correctly for highly technical audiences.

A comprehensive guide for authors targeting the IEEE International Conference on Data Engineering (ICDE). This skill helps assess venue fit, re-frame manuscripts from journal/arXiv styles, and structure papers for top CS conferences. It details required evidence (system architecture, realistic workloads) and best practices for positioning contributions in data engineering, database systems, and analytics.

A comprehensive guide for developing robust and general economic models suitable for top-tier theoretical journals like the International Economic Review (IER). It teaches authors how to identify load-bearing assumptions, analytically prove existence and uniqueness, and structure arguments to demonstrate that results are intrinsic properties of the economy, not mere artifacts of functional form.

A comprehensive project management skill designed for authors planning submissions to major AI conferences (like IJCAI). This guide outlines the critical milestones, dependencies, and risk checkpoints, guiding the team from initial venue fit through abstract registration, full-paper upload, review responses, and final presentation artifact release. It ensures all deadlines and author requirements are met to maximize acceptance chances.