Skill UI

This guide details best practices for generating self-contained, high-impact exhibits (tables and figures) for academic journals, particularly those with strict page limits like Management Science. It instructs users on structuring both theoretical proofs (analytical lane) and empirical results (e.g., regression coefficients, event-study plots) to ensure the findings are immediately readable and persuasive, even without reading the main text.

A comprehensive guide for structuring the theoretical core of academic papers in Management Science. It covers two main approaches: developing formal analytical models (assumptions, propositions, comparative statics) or generating robust empirical hypotheses based on explicit mechanisms. The goal is always to derive decision-relevant, cross-departmental insights.

A comprehensive guide for researchers determining if their academic research topic is suitable for specialized journals like Management Science. It helps assess decision relevance, departmental fit, and cross-disciplinary appeal, ensuring the work meets high standards and avoids desk rejection.

This comprehensive router guides authors through the entire writing lifecycle of a Management Science (INFORMS) manuscript. It does not replace specialized skills but dictates the necessary sequence of work, helping authors move from topic selection and theory development to methods, data analysis, and final contribution framing, ensuring the paper meets the high academic standards of the journal.

This tool guides the refinement of academic prose, specifically for submissions to Management Science (INFORMS). It focuses on transforming notation-dense text into clear, impactful, and highly readable manuscripts. Key practices include front-loading the core results, translating complex symbols into plain language intuition, and adopting a style suitable for a broad, cross-departmental academic audience.

This guide details the process of preparing complex research artifacts (simulators, configurations, traces, and scripts) for post-acceptance evaluation, especially for microarchitecture papers. It outlines best practices for achieving ACM badges like 'Available' and 'Reproducible,' focusing on structuring the code base with tiered entry points (smoke, key, full) and handling dependencies, licensed data, and simulation time constraints.

A comprehensive guide on crafting effective technical rebuttals for top-tier academic conferences. Learn to strategically triage reviewer objections, moving beyond mere argumentation. The focus is on providing verifiable evidence, running new experiments, and maintaining professional tone to maximize your paper's chances of acceptance.

This comprehensive guide details the complex nine-week process of transforming an accepted academic manuscript into the final, published camera-ready version. It covers critical steps including de-anonymization (restoring acknowledgments and affiliations), executing promised revisions, adherence to publisher formatting rules (ACM/IEEE), preparing artifact links, and structuring the accompanying presentation talk.

This guide provides a rigorous framework for evaluating computer architecture designs. It covers critical steps including selecting the appropriate simulation instrument (from analytical models to silicon measurements), constructing robust baselines, performing ablation studies, and reporting comprehensive metrics like geomeans and full overhead accounting to ensure scientific validity.

A detailed guide on how to write a rigorous and comparative 'Related Work' section for top-tier microarchitecture conferences (e.g., MICRO). It teaches authors to structure the section as a 'mechanism taxonomy,' differentiating designs based on structural and cost differences rather than merely listing citations. Key areas covered include sweeping academic venues, integrating industry disclosures, and verifying all venue attributions using tools like dblp.

A comprehensive guide for microarchitecture researchers on achieving rigorous scientific reproducibility. It mandates tracking every critical artifact—including simulator commits, workload traces, power/area models, and RTL toolchains—and compiling them into a single run manifest, ensuring any reported result can be verified by a third party.

A comprehensive model detailing the entire academic review pipeline for microarchitecture papers, anchored to major conferences like MICRO. It outlines the timeline, from initial submission and double-blind review through the rebuttal/revision window, to final notification. The guide details what expert reviewers focus on—including mechanism novelty, methodology credibility, and cost honesty—providing authors with actionable strategies for strengthening their work through the academic publication lifecycle.