Skill UI

This comprehensive guide details the formatting and structural requirements for submitting technical articles to the Journal on Communications (JOC). It covers every aspect, including the official writing order, structured abstracts (Purpose/Method/Result/Conclusion), mandatory classification codes, precise units and symbols, figure/table standards, and detailed referencing according to GB/T 7714. Use this guide to ensure your manuscript passes the initial editorial review process.

This guide provides a comprehensive checklist for writing and refining technical papers for the Journal of Software (JOS). It covers structuring the abstract, mastering the introduction narrative arc, ensuring terminology consistency, and adhering to strict citation standards (GB/T 7714). Use this when submitting a draft to a Chinese academic journal, aiming to transform the manuscript into a highly polished, professional piece that meets the rigorous standards of the Chinese software engineering community.

A specialized guide for refining scholarly manuscripts intended for public policy and marketing journals. It teaches how to structure the introduction around the concrete policy problem, write an actionable 200-word abstract, and maintain a tone of evidence rather than advocacy. The goal is to ensure the prose is clear and highly readable for both academic experts and non-technical policy practitioners.

This guide provides rigorous structural and stylistic guidelines for academic manuscripts in the field of risk and uncertainty. It instructs authors on how to precisely articulate decision models, quantify results with appropriate magnitude and precision, and structure arguments (Abstract, Introduction, Exposition) to meet the high standards of specialized journals, ensuring technical honesty and clarity.

A highly detailed writing style guide for academic manuscripts in Mathematical Finance. It instructs authors on structuring formal theorems, maintaining rigorous notation discipline, separating financial intuition from technical proofs, and ensuring consistency across stochastic analysis contexts. Ideal for improving the clarity and academic rigor of complex quantitative research papers.

This skill refines complex philosophical prose, ensuring rigorous arguments are highly accessible and easy to follow for a broad academic readership. It focuses on maximizing clarity, achieving linguistic economy, and ensuring all technical concepts are accompanied by plain-language exposition. Ideal for final drafting passes, improving readability, and adhering to strict word limits.

A comprehensive guide for authors writing ML systems papers for MLSys. It teaches authors how to structure a technical argument by focusing on a measured bottleneck, naming mechanisms, and structuring the evaluation around research questions. It emphasizes numerical discipline, proper figure usage, and conciseness to fit within conference page limits.

This guide details the rigorous process of writing the "Related Work" section for top-tier mobile communications conferences like MobiCom. It covers sweeping multiple literature lanes (e.g., SIGCOMM, INFOCOM, Sibling Venues), verifying every citation's venue on dblp/ACM DL to avoid misattribution traps, and articulating the precise technical delta between the proposed mechanism and prior art. Essential reading for technical researchers.

This guide provides rigorous structural and disciplinary rules for authors submitting mobile-systems research to highly competitive conferences like MobiSys. It emphasizes moving beyond mere superlatives, mandating that all claims must be substantiated by explicit measurements of latency, energy, memory, and thermal budgets on real devices. Learn how to structure the paper to survive deep technical and systems-level peer review.

A comprehensive guide for revising technical submissions, particularly in computational linguistics and NLP. It details how to enforce linguistic scope discipline, present examples as verifiable arguments, structure the first page for maximum impact, anticipate reviewer limitations, and maintain strict terminology consistency for high-stakes academic publishing.

A comprehensive guide for refining machine learning research papers tailored for NeurIPS submission. It teaches how to structure introductions, calibrate claims with evidence, explicitly state limitations, and address mandatory academic checklist items (e.g., reproducibility, broader impact). Use this skill to transform technical writing into a reviewer-proof, high-impact academic manuscript.

This guide outlines the rigorous standards for writing top-tier distributed systems conference papers. It details the mandatory narrative arc—moving from an operational pain point to a named design principle—and emphasizes that every claim must be supported by precise, measured evidence (e.g., percentiles and specific workloads) rather than relying on superlatives or vague adjectives. It also provides guidance on structuring the argument, budgeting page space, and designing figures as core evidence.