Skill UI

This guide details the strategic placement of supplementary evidence (e.g., tuning grids, ablation studies, code) for academic submissions, particularly in conference formats like RecSys. It clarifies the difference between material belonging in the main body, the page-counted appendix, and the anonymous repository, ensuring that critical findings are visible and adhere to strict page budget constraints.

Guides authors through the rigorous process of revising and responding to referee reports (R&R) for top-tier academic journals. It details how to structure the response letter, triage reviewer comments (concede, clarify, push back, decline), and ensures the revised manuscript precedes the letter. Essential for maintaining academic credibility during the publishing cycle.

This skill polishes the prose and structure of advanced academic manuscripts for top-tier journals. It focuses on enhancing clarity, conciseness, and logical flow, especially optimizing the introduction and abstract to ensure the core research contribution is immediately evident and highly readable, without altering the original results or economic models.

A comprehensive guide for designing essential exhibits—such as PRISMA flow diagrams, forest plots, and evidence maps—for systematic reviews, meta-analyses, and critical syntheses. These exhibits are crucial for allowing readers to audit the search process and understand the synthesis at a glance, ensuring methodological rigor and clarity.

This guide provides comprehensive rules for organizing the Internet Appendix (IA) for submissions to top academic journals, such as The Review of Financial Studies (RFS). It clarifies which material—such as full robustness checks, detailed proofs, or data construction methods—should reside in the main manuscript and which belongs in the supplementary IA. This ensures the core paper remains impactful, clean, and structurally rigorous.

This comprehensive guide outlines the strict criteria for submitting a paper to the SenSys conference after the 2026 merger. It clarifies that the core contribution must be a built, measured sensing or embedded system, demonstrating value based on physical resources like energy, memory, and latency on real hardware, rather than being a pure algorithm or networking mechanism.

A comprehensive guide designed for the late-stage polishing of academic manuscripts, specifically targeting submissions to top-tier journals. It focuses on enhancing clarity, improving argument flow, adhering to strict academic house conventions (such as dual abstracts and APA style), and refining prose. This skill ensures the research contribution is clearly articulated and immediately visible to the reader, optimizing the structure and polish of the final paper.

A comprehensive guide for authors submitting to SODA (ACM-SIAM Symposium on Discrete Algorithms). It clarifies the rules for including computational evidence, distinguishing between proofs relying on computation, supporting implementations, and full experimental contributions. It emphasizes using verifiable certificates and structuring the submission for rigorous, independent review.

A comprehensive guide for authors submitting theoretical computer science papers to SODA. It clarifies the distinction between SODA (theory-led) and ALENEX (experiment-led), advising on when and how to incorporate numerical evidence. The protocol details best practices for honest numerics, including instance generation discipline, claim-class labeling (illustration, evidence, motivation), and proper submission routing to ensure academic rigor.

This guide provides researchers with a critical framework for determining if their work on algorithms, data structures, and discrete mathematics is suitable for SODA (ACM-SIAM Symposium on Discrete Algorithms). It outlines a rigorous three-question fit test, offers a routing map to comparable specialized venues (like STOC or FOCS), and clarifies the specific academic pattern required for a submission to be considered novel and impactful to an algorithms expert.

This guide details the precise writing standards for submitting top-tier algorithms research papers to major conferences. It covers structuring the headline, writing a compelling abstract, developing a clear overview, presenting prior-bound comparison tables, and maintaining rigorous prose discipline to ensure maximum impact and clarity for expert reviewers.

A comprehensive guide for drafting constrained author responses during major technical conference review periods (e.g., SOSP). Learn how to effectively correct factual errors and answer direct reviewer questions while strictly adhering to word limits and avoiding the introduction of new data or future work promises. Focus on precision and clarity for the Program Committee.