Skill UI

This guide provides a comprehensive framework for designing rigorous and defensible evaluation sections for machine learning and information retrieval papers, particularly for top-tier conferences like WSDM. It covers the four critical evidence quadrants—Effectiveness, Validity, Efficiency, and Robustness—and details necessary protocols, such as temporal splits, proper baseline selection (including heuristics), ablation studies, and hardware-aware performance reporting. Use this when auditing or writing the experimental section of a research paper.

A comprehensive guide detailing the rigorous, multi-stage academic review process for top-tier data mining conferences (e.g., WSDM). It analyzes the hybrid single/double-blind architecture, the impact of no rebuttal phase, and the distinct perspectives of academic and industry reviewers. Use this guide to understand the requirements for writing and structuring submissions that maximize acceptance chances.

A comprehensive guide for auditing research papers submitted to the WSDM conference. It details critical constraints, including the no-rebuttal policy, strict 9-page budgets (including appendices), and stringent hybrid anonymization requirements. Use this guide to preemptively identify and correct submission flaws before the deadline.

A comprehensive guide for researchers to evaluate if their project aligns with the niche scope of WSDM. It details the 'two-gate test' (web/social data focus and practical/principled approach) and provides a routing table to help authors determine the most appropriate conference venue (e.g., SIGIR, KDD, RecSys) for their work.

This comprehensive guide outlines the annual workflow for submitting research papers to major AI/NLP conferences, such as WSDM. It details critical milestones, including abstract deadlines, paper submission, conference logistics, and strategies for alternative tracks (short papers, demos). It is essential for researchers managing their academic publication timeline and coordinating with neighboring venues.

This guide provides detailed stylistic advice for authors submitting papers to WSDM. It emphasizes structuring work around observed user and web behaviors, adopting a self-contained voice that preemptively addresses reviewer objections, and ensuring technical precision in all sections, including ethics and limitations. It transforms raw research into a publication-ready, principle-grounded narrative.

This skill guides authors through the complex process of law-review placement, focusing on multi-submission market strategies and timing. It provides critical, YLJ-specific advice, covering seasonal cycles (Spring/Fall), the proper use of offers for expediting, and adherence to YLJ's unique submission rules (e.g., no competitive advantage from expediting, anonymized review). It helps authors optimize the entire submission campaign.

This skill guides legal scholars through a systematic preemption check to ensure their academic claim is genuinely novel and not covered by prior work. It simulates comprehensive searches across specialized databases like SSRN, Westlaw, HeinOnline, and Google Scholar. The process helps users accurately draft the critical "what's new" contribution paragraph by classifying the relationship between their claim and existing scholarship.

This guide details the rigorous, multi-round editing process for legal scholars submitting to high-level academic journals like The Yale Law Journal (YLJ). It trains users on navigating substantive critiques, resolving complex source-pull and citation queries, and adapting the writing process for fast-paced online formats (YLJ Forum). The focus is on maintaining legal integrity and argumentative coherence throughout the intensive revision cycle.

This guide details the rigorous, unique evaluation process for academic articles and essays at Yale Law Journal (YLJ). Unlike traditional peer review, student editors conduct anonymous evaluations, focusing heavily on the originality of the claim, the completeness of the apparatus, and crucially, a thorough 'source-pull' where every citation must be rigorously verified and supported by the text. Use this to understand how to structure and prepare manuscripts for scholarly publication.

A comprehensive checklist for authors submitting to academic law journals, specifically tailored for The Yale Law Journal (YLJ). It guides users through critical pre-upload steps, including mandatory anonymization checks, adhering to strict length caps (Article, Essay, Forum), verifying Bluebook citation apparatus, and ensuring the use of the official submission portal. This tool helps prevent common submission failures before the final upload.

This skill provides a rigorous fit test for legal scholarship ideas targeting The Yale Law Journal (YLJ). It helps users determine if their claim has generalist significance beyond a single niche, whether the argument is substantial enough (a claim, not a survey), and what the appropriate format (Article, Essay, Forum) should be. It is crucial for pre-drafting evaluation.