Skill UI

A comprehensive model simulating the entire academic paper review cycle, specifically tailored to large-scale top-tier conferences like CVPR. It details the timeline, roles of reviewers and Area Chairs, the impact of mechanisms (like the LLM ban), and strategic advice for authors navigating the submission, rebuttal, and decision-making phases.

A comprehensive audit checklist for submitting papers to CVPR. This guide covers crucial deadlines (abstract, full paper, supplement), strict page limits (8 pages including figures), adherence to anonymity rules, and mandatory compliance with the Compute Reporting Form (CRF). Essential reading for authors preparing research submissions for major computer vision conferences to avoid desk rejection.

A comprehensive guide for authors submitting to computer vision conferences, detailing how to structure, organize, and utilize supplementary material. It clearly distinguishes between core claims (which must be in the main body) and supportive evidence, such as full ablation grids, detailed derivations, and video results, which belong in the supplement. The guide covers best practices for handling anonymity, video evidence, and avoiding common submission bugs.

A comprehensive guide for computer vision researchers on strategically positioning their work. It helps assess whether the core contribution is related to visual data or visual computation, providing fit tests and a routing map to recommend the most appropriate top-tier conferences (CVPR, ICCV, NeurIPS) or journals based on the contribution type and technical maturity.

Provides guidelines for creating robust, verifiable, and reusable Electronic Design Automation (EDA) artifacts for submission to academic conferences like DAC. The focus shifts from chasing conference badges to ensuring community trust and scientific reproducibility. Key elements include pinning the toolchain, using standard benchmarks, providing clear setup instructions, and archiving the release in a DOI-issuing repository.

A comprehensive guide on structuring responses to peer reviews for top-tier academic conferences (e.g., DAC, ICCAD). It provides strategies for writing rebuttals, transforming reviews into actionable fixes, and adapting the response style for both conference resubmission and journal formats, emphasizing evidence over argument.

A comprehensive guide for authors preparing the final, camera-ready manuscript for major academic conferences. It details crucial post-acceptance steps, including systematically de-anonymizing the paper, restoring author affiliations and funding details, correctly implementing ACM copyright forms and DOI stamps, adhering to strict page budgets, and verifying all metadata for proper archival indexing in the ACM Digital Library.

This guide provides a comprehensive checklist for evaluating Electronic Design Automation (EDA) research manuscripts for top-tier conferences like DAC. It emphasizes the necessity of using standard, recognized benchmark suites (e.g., ISPD, EPFL, TAU), comparing results against the true State-of-the-Art (SOTA), reporting full PPA metrics and runtime, and implementing ablation studies to ensure fairness, reproducibility, and generalizability, especially for ML-based methods.

A detailed guide on how to structure and position the 'Related Work' section for high-stakes academic conferences like DAC, ICCAD, and DATE. It teaches authors to move beyond simple surveys and instead create a 'delta statement,' explicitly defining the limitations of prior art and quantifying the unique advances of the current work in terms of Quality of Results (QoR).

This comprehensive guide provides a detailed audit checklist for submitting research manuscripts to major design automation conferences (e.g., DAC). It covers critical steps such as the two-stage abstract/manuscript timeline, adherence to the strict 6+1 page format, ensuring double-blind anonymization (removing all identifying metadata), declaring TPC conflicts, and mitigating common submission risks. Essential reading for researchers preparing for high-stakes academic submissions.

This guide provides crucial advice for authors submitting to conferences with severe page limitations, such as DAC. It teaches the 'decision-criticality test' to help authors allocate content, ensuring that only core, review-mandated arguments remain in the main body, while supporting details and code can be moved to external repositories.

A comprehensive guide for authors addressing the rebuttal window for major NLP/AI conferences (like EACL). It details how to strategically triage reviewer objections, craft responses for both individual reviewers and the action editor's meta-review, plan runnable in-window experiments, and make critical decisions about the paper's future venue.