Skill UI

A comprehensive guide for designing rigorous and robust empirical programs in Information Retrieval, Data Mining, and Knowledge Management. It outlines how to meet the stringent evidence requirements for top-tier conferences, ensuring claims are substantiated across multiple evaluation dimensions (retrieval, mechanism, scalability) and incorporating best practices for reproducibility and handling modern challenges like LLM contamination.

This guide details the complex requirements for writing the 'Related Work' section for CIKM submissions. It emphasizes the need for 'three-front coverage' (Retrieval, Mining, and Knowledge Management/Databases) and provides specific instructions on writing the 'boundary-work paragraph.' It also covers critical academic hygiene, such as avoiding venue misattribution, maintaining recency baselines, and accurately stating novel contributions.

This comprehensive guide outlines best practices for achieving rigorous reproducibility in complex AI and knowledge graph research. It details how to pin every component—from tokenizers and KGs to LLM prompts and environment settings—ensuring that results are fully documented and verifiable by peers, even when proprietary data is involved.

This guide provides an in-depth analysis of the CIKM peer review process, which operates under double-blind rules and integrates perspectives from three distinct fields: Information Retrieval, Data Mining, and Knowledge Management. It details how authors can optimize their submissions to satisfy diverse expert standards, how to interpret complex, multi-faceted review reports, and the critical dynamics that determine a paper's acceptance status.

This guide helps researchers assess if their work correctly spans the tri-community area of Information Retrieval, Data Mining, and Knowledge Management. It provides a detailed framework for comparing CIKM against major academic venues like SIGIR, KDD, WSDM, and SIGMOD/VLDB, ensuring the paper's scope is optimally matched to the target conference.

This comprehensive guide provides expert advice on structuring and polishing research manuscripts for multi-disciplinary academic venues like CIKM. It details how to satisfy reviewers from Information Retrieval, Data Mining, and Knowledge Management simultaneously, covering the optimal structure for the opening page, vocabulary discipline, budget compression, and effective title optimization.

This guide instructs authors on how to package theoretical proofs for submission to COLT (Conference on Learning Theory). Since COLT does not have a formal artifact track, it emphasizes treating the proof appendix as the primary 'artifact.' It details best practices for creating a verifiable proof ledger, rigorously tracking constants and external results, and managing supplementary code to ensure maximum academic credibility.

This comprehensive guide assists researchers in converting an accepted, anonymous draft for the Conference on Learning Theory (COLT) into the final, polished camera-ready version for publication in PMLR proceedings. It covers critical steps such as de-anonymization (restoring author details, acknowledgements), consolidating all promised revisions into the main text, verifying PMLR metadata and BibTeX consistency, and preparing the full archival PDF.

A sophisticated guide for academic writers on structuring the literature review section of communication science manuscripts. It teaches authors how to move beyond simple summaries by actively positioning their hypotheses against existing empirical debates, identifying precise knowledge gaps, and adjudicating rival theoretical accounts. This skill ensures the work reads as a cumulative, theory-testing contribution suitable for top-tier academic journals.

Provides a comprehensive guide for authors responding to highly technical conference reviews, particularly focusing on the critical 'one-shot major revision response letter.' It details strategies for maintaining strict double-anonymity, structuring the rebuttal around decision-critical points (soundness, reproducibility), and creating a detailed change ledger to systematically address every minimum necessary change requested by reviewers.

Provides a detailed structural guide for writing high-quality literature reviews, specifically tailored for top-tier journals in Public Administration. It coaches users on transitioning from a simple 'listing' format to a critical 'dialogue' format, ensuring proper theoretical anchoring (e.g., Public Administration theory), balancing international and local literature, and clearly defining the paper's unique contribution and knowledge gaps.

This comprehensive skill guides researchers through the critical ethical framework for anthropological and social science manuscripts. It emphasizes 'do no harm,' continuous informed consent, community accountability, and proper handling of sensitive data, cultural heritage, and human remains. It ensures that all data sharing and knowledge reuse plans prioritize the rights, privacy, and well-being of interlocutors above academic publication needs.