Skill UI

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 guide for authors preparing submissions for ICDE conferences. It details how to properly segment content into the main 12-page body versus the supplementary material, ensuring the core argument remains self-contained while providing reviewers with runnable artifacts, extended experiments, and full technical documentation.

A comprehensive guide for authors submitting data-intensive systems papers to top-tier conferences (like ICDE). It details how to structure the paper, ensure technical claims are reconstructable, quantify all performance gains with associated costs, and compress complex ideas into a limited page budget while maintaining scholarly rigor.

A comprehensive guide for revising technical manuscripts intended for premier data mining conferences like ICDM. It teaches authors to shift focus from model-centric claims to data-regime-first narratives, emphasizing measurable evidence, mechanistic detail, and adhering to strict academic constraints (e.g., triple-blind format, page limits).

This guide outlines the professional and technical process for authors responding to peer reviewers after a major conference submission (e.g., ICDT). It emphasizes that the revision must be a substantive correction—closing all identified proofs gaps, clarifying models, and documenting changes—rather than a mere argument or debate over taste. It provides a structured, point-by-point approach for maximizing the chances of acceptance.

This guide provides strict guidelines for structuring technical conference papers, especially when supplementary proofs are required. It emphasizes the critical rule that the main body (typically 15 pages) must be self-contained and sufficient for a referee to judge the result's significance, even if they do not read the marked appendix. It strictly forbids external links or online supplements for review.

This guide details the advanced methodology for structuring the 'Related Work' section for top-tier academic conferences (e.g., ASPLOS). It emphasizes positioning research across multiple parallel domains—including architecture, OS/systems, compilers, and accelerators—and defining the precise technical boundary where your work advances the state of the art.

This guide helps transform technically sound machine learning drafts into highly readable, conference-ready papers suitable for ICLR and OpenReview. It emphasizes structuring the core learning-representation insight upfront, clarifying contribution types (method, theory, benchmark), optimizing for public skimming, and providing clear reviewer navigation paths. Use this when ensuring maximum impact and clarity in a challenging academic review environment.

This guide provides structured methodologies for authors to position their research within the context of existing literature and concurrent submissions at top-tier machine learning conferences (e.g., ICML, NeurIPS). It emphasizes identifying the technical delta, addressing novelty concerns, and properly citing related work to maximize acceptance chances.

This guide provides a structured methodology for handling reviewer comments across various academic publishing channels, including camera-ready revisions, formal journal response letters, and resubmission memos. It teaches researchers how to move beyond simple rebuttal by focusing on technical honesty, evidence-based arguments, and disciplined revision processes required by top conferences (ICRA/IROS) and journals (RA-L).

A comprehensive, final-gate audit guide for submitting papers to major robotics conferences like ICRA using the PaperPlaza system. It details mandatory technical specifications, including page limits (6 content + 2 refs), IEEE two-column compliance, double-anonymous rules, video attachment specs, and critical deadlines. Essential reading to prevent submission rejection or administrative disqualification.

This guide details how to prepare the mandatory video attachment for robotics conference submissions. It covers strict technical specifications (e.g., 180 seconds, 20 MB), the crucial self-containment rule, effective storyboarding techniques, and necessary steps for anonymization. Learn to transform your video from a mere demonstration into robust, undeniable scientific evidence.