Skill UI

This guide helps authors structure and refine academic exhibits (tables and figures) for highly selective policy journals (like JPP&M). It addresses the crucial need to cater to a dual audience: methods-literate reviewers requiring technical detail (estimators, SEs, clustering) and policy practitioners needing immediate, decision-relevant magnitude (e.g., percentage points, dollars). It covers best practices for Event-Study, DiD, RDD, and forest plots, ensuring the presentation is actionable and adheres to strict page limits.

This guide provides a structured strategy for authors responding to major academic revisions (R&R) or acceptance-with-revision decisions from scholarly journals. It teaches how to write a detailed, point-by-point rebuttal letter, prioritizing the addressing of central limitations identified by editors and reviewers, and maintaining academic transparency throughout the revision process. This skill focuses on strategic communication, not content creation.

A comprehensive guide detailing how to effectively distribute content across the three components of a major conference submission: the core content pages, the optional appendix, and the cited external repository. It provides best practices for content triage, ensuring that only load-bearing, reviewer-visible claims are placed in the limited space, while supporting details are properly migrated or relegated to the repository.

This guide provides critical structuring advice for authors submitting ML Systems papers, focusing on the strategic division of content between the mandatory 10-page body and the unlimited supplementary appendix. It outlines which material belongs in the main text (claims that must be believed) versus what belongs in the appendix (material that must be verifiable evidence, such as full hyperparameter grids or deep ablations).

A comprehensive guide for authors submitting to top-tier NLP conferences (like NAACL/ARR). It details how to strategically allocate material across different submission tiers—Core Content, Limitations, Appendix, and Supplementary Uploads—to ensure the main argument remains robust and fully supported, regardless of which parts reviewers are obligated to read.

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.

A comprehensive guide detailing the strategic and technical requirements for submitting research papers to major conferences like OOPSLA. It covers critical steps such as selecting the correct submission round, adhering to strict formatting rules (e.g., page limits), proactively maintaining double-anonymity, properly filing Data-Availability Statements, and managing complex revision or concurrent submissions to maximize acceptance chances.

This guide details the strategic process for writing a constrained, data-driven rebuttal for competitive academic conferences (such as PPoPP). It teaches authors how to structure responses to address scaling questions, compare results against baselines, correct factual misreadings, and maximize impact within strict word and time limits. Focus on evidence, not argument.

This guide provides expert guidelines for designing high-impact, concise figures specifically for academic publications with strict length limits (e.g., PRL). It emphasizes that every figure must convey a single, central result at a glance. The strategy covers lead figure principles, print standards (single-column legibility, color-blind safety), and panel discipline to ensure maximum clarity and minimal word count consumption.

This strategy guides researchers in anticipating the specific, rigorous methodological objections raised by top-tier academic referees, especially in applied econometrics. It provides a systematic map connecting econometric designs (like DID, IV, RD) to common threats (e.g., measurement error, bias, specification issues). Users can pre-empt these criticisms by structuring their manuscript to include necessary defenses, robustness checks, and scope limitations before formal submission.

This guide provides a comprehensive strategy for responding to a Revise-and-Resubmit (R&R) decision, particularly for Social Forces submissions. It teaches users how to systematically address every reviewer comment, reconcile conflicting demands, and maintain methodological rigor while strictly adhering to tight word and panel limits.

This guide outlines best practices for organizing technical conference papers, specifically tailored for venues like ACM SIGCOMM. It details how to separate core arguments (Body), supporting data (Appendices), and citations (References), ensuring the main paper remains self-contained and persuasive to reviewers. Learn how to manage content load, handle extended proofs, and adhere to strict page limits without losing critical information.