Skill UI

A comprehensive guide for data engineers and researchers determining the best venue (ICDE, SIGMOD, VLDB, etc.) for their data-intensive systems paper. It outlines the foundational "data-management-primitive test" and provides strategic advice on navigating the overlaps and differences between major database conferences based on research focus and submission timeline.

This guide outlines best practices for structuring academic papers submitted via OpenReview, particularly for venues like ICLR. It advises authors on where to place different types of evidence—such as core claims, full derivations, code, and large datasets—to ensure the central argument remains visible while maintaining academic rigor. It covers strategies for managing annexes, maintaining anonymity, and updating revisions.

This guide helps researchers determine if their Machine Learning project is suitable for ICLR, or if a different top-tier conference (such as NeurIPS, ICML, or CVPR) is a better fit. It emphasizes the need for deep representation-learning insights, mechanistic understanding, and theoretical contributions over mere application performance.

Provides a comprehensive guide to the ICRA conference paper review process. Details the unique pipeline, from submission through the CEB review board, highlighting key structural differences from journal reviews. Special attention is paid to the absence of an author rebuttal phase, advising authors on strategies like anticipating objections, using video evidence, and maximizing clarity to improve acceptance chances.

A detailed methodology guide for authors submitting to highly competitive software engineering venues (like ICSE). It teaches how to structure the Related Work section not as a bibliography, but as a 'delta statement' that explicitly outlines the unique differences and contributions compared to the state-of-the-art across multiple publication lanes (journals, preprints, flagship venues).

A comprehensive guide for authors submitting to major academic conferences (e.g., ICSE). It details the strict rules for differentiating mandatory core content (the 10-page limit) from supporting evidence, such as extended proofs, scripts, and raw data, which must be placed in an anonymized supplementary package. Learn the 'summarize-and-point' discipline to ensure verifiability and maintain reviewer trust.

This comprehensive guide assists software engineers in determining the most appropriate venue (e.g., ICSME, ICSE, MSR) for their research paper. It clarifies the critical difference between general software engineering techniques and studies focused on the post-release lifecycle, such as maintenance, technical debt, program comprehension, and system evolution.

This comprehensive guide helps researchers position their work in Automatic Speech Recognition (ASR) and Spoken Language Understanding (SLU) for the IEEE ASRU workshop. It covers conference fit assessment, manuscript re-framing strategies, understanding venue-specific evidence requirements (e.g., decoding, robustness analysis), and differentiating the contribution from related fields like Interspeech or SLT. Use this tool for submission strategy and academic positioning.

A comprehensive guide for authors aiming to submit robotics and automation manuscripts to the IEEE ICRA. It provides detailed advice on conference fit, necessary evidence (hardware/simulation), paper framing, and structuring the work to meet the standards of top-tier robotics venues. It also helps differentiate ICRA from similar conferences like IROS and RSS.

This guide assists authors with positioning their computer science manuscripts for the IEEE International Conference on Software Maintenance and Evolution (ICSME). It details the core scope, including software maintenance, evolution, refactoring, and technical debt, and provides best practices for structuring submissions. It emphasizes the need for real repository evidence, actionable engineering insights, and proper differentiation from related venues like SANER or ICSE.

This comprehensive guide details the strict content partitioning rules for preparing papers for top-tier security conferences like IEEE S&P. It advises authors on differentiating between core claims (which must live in the limited body pages) and verification material (which belongs in the appendix), ensuring adherence to strict page limits and review expectations.

This comprehensive guide teaches researchers how to sharply position their economic manuscripts. It helps identify the unique contribution (the 'delta') relative to the closest existing literature, especially when targeting high-impact journals like the IMF Economic Review (IMFER). It emphasizes connecting academic findings to global policy debates and differentiating the work from related fields (JIE, JIMF).