Skill UI

A comprehensive guide designed to help researchers evaluate the suitability of their manuscript for 'China Rural Survey.' It covers the journal's academic scope, key thematic interests (e.g., land tenure, rural governance), required structural elements, and critical submission protocols (such as double-blind review, data/code public disclosure, and abstract formatting). Use this tool to refine your argument and ensure compliance before formal submission.

This tool provides a comprehensive pre-submission checklist tailored for submitting manuscripts to high-tier academic journals. It verifies adherence to complex guidelines, covering manuscript length, abstract structure, citation formats (footnotes and real references), data reproducibility requirements, and double-blind anonymity protocols. It helps authors catch technical errors and formatting inconsistencies before official submission.

This comprehensive guide provides expert protocols for writing the 'Related Work' section in Machine Learning papers. It teaches authors how to maintain 'versioned honesty' by meticulously triaging the literature into distinct lanes (e.g., method lineage, model artifacts, evaluation infrastructure). It covers advanced topics like managing concurrent work, citing arXiv status accurately, and avoiding self-citation violations, ensuring the paper is positioned rigorously within the rapidly evolving academic field.

A comprehensive guide detailing best practices for ensuring the reproducibility of computational claims in Large Language Model (LLM) papers. It outlines a layered approach (Exact, Budgeted, Drifting) for verifying results, providing protocols for handling open-weight checkpoints, proprietary API models, and documenting compute costs and failure modes honestly.

A comprehensive guide detailing how to structure and populate the supplementary material section of technical research papers, especially in NLP and Machine Learning. It distinguishes between load-bearing elements (main text) and audit trails (appendix), covering prompt verbatim, decoding configurations, full result grids, and code anonymization protocols to ensure high reproducibility and academic rigor.

This guide provides a framework for rigorously defending the methodological design of scientific manuscripts in conservation biology. It covers advanced topics including detection modeling (occupancy, capture-recapture), addressing spatial structure and pseudoreplication, quasi-experimental designs (BACI, difference-in-differences), and systematic review protocols (PRISMA). The goal is to ensure that the evidence presented directly and credibly supports transferable, decision-relevant conservation conclusions.

A comprehensive guide detailing the rigorous formatting standards for tables and figures required for submission to the China Rural Economy journal. It covers three-line table style, strict column limits, variable definition protocols, mandatory data source citation, and specific figure aesthetic requirements (e.g., DPI, color usage), ensuring research output meets high academic standards.

This comprehensive guide provides a meticulous audit checklist for authors preparing a computer science manuscript before submitting it to a high-tier academic journal. It covers all required elements, including the 'Manuscript Six Components,' formatting standards (e.g., GB/T 7714), ethical declarations, structural integrity (e.g., report-style abstract), and institutional submission protocols. Use this checklist to significantly reduce the risk of rejection due to procedural or structural deficiencies.

A comprehensive guide for structuring the empirical evidence section of top-tier NLP conference papers (e.g., EACL). It mandates rigorous controls, including fair baselines (tuned models, explicit LLM prompts), statistical significance testing (variance, CI), contamination checks, and detailed human evaluation protocols. Use this to elevate your research from mere assertion to scientifically audited proof.

A comprehensive preflight checklist for authors submitting manuscripts to Econometrica. It details strict guidelines on manuscript length (main body and supplemental material), formatting, anonymization protocols, membership requirements, and adhering to the latest Data and Code Availability Policy. Use this guide before submission to ensure full compliance with the journal's standards.

This comprehensive guide outlines the rigorous standards for designing, auditing, and reporting Natural Language Processing (NLP) experiments, specifically tailored for top-tier academic conferences like EMNLP. It covers critical areas including baseline fairness checks, data contamination audits, statistical significance testing, prompt sensitivity analysis, and structured human evaluation protocols, ensuring reported claims are robust, reproducible, and methodologically sound.

A comprehensive guide for environmental science manuscripts, detailing the standards required for data reporting and ensuring research reproducibility. It instructs authors on assembling Supporting Information (SI), writing data-availability statements, and depositing raw data, code, and protocols into recognized public repositories (e.g., Zenodo, GenBank).