Skill UI

This guide details the strategic placement of content for academic submissions, dividing material into Main Part, Appendix, and Supplementary ZIP. It provides best practices for authors to manage proofs, protocols, and code while adhering to strict page limits and double-blind review constraints, ensuring maximum review integrity and clarity.

A comprehensive guide for authors submitting to venues focused on probabilistic AI, including UAI. It emphasizes achieving maximum formal rigor by enforcing strict notational discipline, clearly separating conditioning from intervention, explicitly stating assumptions, structuring the main body for maximum impact, and calibrating claims to match empirical evidence. Essential for papers involving graphical models, causality, and Bayesian methods.

A comprehensive guide detailing how to package and present research artifacts—including code, hardware designs, and datasets—for major academic conferences. It outlines best practices for both initial review-time evidence and long-term public reuse, ensuring reproducibility and maximizing the chances of adoption by future builders.

A comprehensive guide detailing the strategy, structure, and tactical writing needed for successful academic conference rebuttals (e.g., UIST). Learn how to manage character limits, prioritize factual corrections, promise concrete changes, and structure arguments to survive committee skimming, maximizing your chances of acceptance.

A comprehensive guide for positioning research papers for top-tier security conferences like USENIX Security. It covers defining coverage against 'Big-Four' and specialty venues, ensuring novelty across multi-cycle academic pipelines, identifying mechanism-level differentiators, and mastering double-blind citation mechanics for maximum impact.

This guide outlines the methodology for preparing research artifacts for rigorous academic reproducibility evaluations, such as those run by VLDB/SIGMOD. It details the required components—including prototype code, input data, workloads, and analysis scripts—to structure a comprehensive package. The goal is to ensure that any external evaluator can independently and flawlessly rebuild and validate all claimed results, maximizing the chances of winning reproducibility awards.

A comprehensive guide to structuring and writing academic papers for WACV, focusing on maximizing acceptance rates. It details the critical differences between writing for 'Applications' vs. 'Algorithms' tracks, ensuring the first page immediately captures reviewer attention. Key advice includes adhering to the strict 8-page budget, making figures self-contained, scoping all claims precisely, and moving excessive detail to supplements.

A comprehensive guide for researchers handling academic revisions after receiving a journal decision letter (R&R). It teaches how to triage critical feedback from multiple referees, prioritize the editor's synthesis, structure detailed point-by-point responses using quantitative evidence, and sequence the revision work to maximize the chances of publication.

A comprehensive strategy guide for submitting academic papers to The World Bank Economic Review (WBER). It teaches researchers how to anticipate and preempt common criticisms from development-economics referees (identification flaws, policy relevance, data quality) and how to structure the cover letter to maximize acceptance chances.

This comprehensive guide details the strategic process of writing a high-impact rebuttal for major academic conferences. It teaches users how to triage mixed reviewer feedback, differentiate between in-track, adjacent-track, and web-fit objections, and structure responses using concrete evidence, specific citations, and confident concessions to maximize the paper's acceptance chances.

A comprehensive guide for authors submitting papers to web conferences. It details how to structure empirical claims, ensuring evidence matches the claim's scope (scale, freshness, generalizability). The guide covers avoiding methodological flaws like temporal or popularity leakage, selecting datasets with proper provenance, and performing rigorous ablations and statistical analysis for maximum academic rigor.

This guide provides an expert methodology for writing the 'Related Work' section for top-tier web conferences (like WWW). It teaches authors how to establish the paper's academic lineage, contrast the work against competing venues (e.g., SIGIR, KDD), and manage citation hygiene, ensuring maximum impact within strict page limits.