Skill UI

A comprehensive guide for designing and auditing high-stakes networking experiments, particularly for top-tier academic submissions like SIGCOMM. It outlines the 'evidence ladder' from microbenchmarks to live deployment, emphasizing the need to select robust baselines, report full performance distributions (percentiles and variance), and accurately map the mechanism's operational break points.

This comprehensive guide provides a rigorous, multi-stage audit checklist for authors submitting papers to top-tier academic conferences like SIGCOMM. It covers crucial details including abstract registration timing, selecting the correct research or experience track, adhering to strict ACM formatting rules (12-page limit), maintaining double-blind anonymity, and verifying all metadata against the submission system requirements.

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.

This guide outlines the rigorous standards required for submitting top-tier academic papers, such as those for ACM SIGCOMM. It instructs authors on how to transition from general claims to highly evidence-based arguments by focusing on measured operational pain, defining design principles, and pairing every performance claim with concrete testbed, trace, or deployment evidence. Essential for researchers in networking and systems.

A comprehensive guide for authors preparing a SIGGRAPH paper for final publication in ACM Transactions on Graphics (TOG). It details the rigorous requirements beyond simple revisions, covering essential journal metadata (DOI, ACM rights, CCS concepts), correct formatting, permanent archiving of code/data, and finalizing supplemental media for professional publication.

A comprehensive guide for structuring research papers, particularly in computer graphics and visualization fields (like SIGGRAPH). It dictates how to match technical claims (e.g., 'higher quality,' 'faster') to verifiable evidence, including head-to-head comparisons against State-of-the-Art (SOTA), detailed metric reporting (PSNR, SSIM, Hausdorff), performance timing linked to specific hardware, and robust user studies. Essential for achieving academic rigor and pre-empting domain reviewer objections.

A comprehensive guide for auditing SIGGRAPH technical paper submissions. It details critical deadlines (two-step process), required formatting (ACM acmart, page limits), and necessary supplementary materials like videos and representative images. Use this checklist before finalizing your submission to ensure compliance and avoid mechanical rejection.

A comprehensive guide for packaging and submitting artifacts for Information Retrieval (IR) conferences (like SIGIR). It details the strict requirements for reproducibility, including mandatory components like TREC-format run files, qrels, and index recipes. The process covers repository structure, anonymization for review, handling data provenance, and ensuring that results can be audited by any reviewer using standard community tooling.

This guide details the critical steps and changes required to transform a reviewed SIGIR submission into the final Version of Record published via ACM Digital Library. It covers technical requirements, metadata standardization (CCS, keywords), conflict resolution, and adhering to publishing timelines and copyright protocols (e-rights, TAPS).

This comprehensive guide details the rigorous methodology for designing, executing, and reporting experimental results in Information Retrieval (IR). It covers best practices for selecting appropriate test collections, choosing defensible metrics, performing proper statistical significance testing (e.g., paired t-tests), ensuring baseline fairness, and proactively addressing modern pitfalls like LLM contamination. Essential for publishing high-quality, auditable research in IR/NLP.

A comprehensive guide on structuring the 'Related Work' section for top-tier Information Retrieval (IR) conferences (like SIGIR). Learn to trace the lineage of your research through canonical history (e.g., BM25, ColBERT), mechanically articulate your technical 'delta' (novel contribution), and avoid common pitfalls like venue misattribution and insufficient contrast.

A comprehensive guide for ensuring the reproducibility of Information Retrieval (IR) research, essential for SIGIR submissions. It details best practices for pinning data collection versions, index settings, neural model hyperparameters, and managing non-determinism. It helps researchers document artifacts—not just promises—to validate reported gains.