Skill UI

This comprehensive guide teaches researchers how to structure and refine machine learning papers for top-tier conferences like ICML. It focuses on achieving clarity, soundness, originality, and significance within strict page limits, providing actionable strategies to ensure the research withstands rigorous reviewer scrutiny.

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 skill provides a comprehensive guide for authors submitting papers in biomedical imaging algorithms, microscopy, and medical imaging to top-tier conferences like ISBI. It helps authors strategically frame their work, assess scope fit, ensure strong evidence, and understand the unique requirements of the venue, ensuring the manuscript is optimized for conference review standards.

A comprehensive guide for authors targeting the IEEE-RAS International Conference on Humanoid Robots. This skill helps frame, scope, and structure research papers in humanoid robotics. It dictates the necessary level of hardware evidence, whole-body control integration, and perception depth required to succeed at this top-tier venue, while distinguishing it from general robotics conferences like ICRA or RoboCup.

Provides comprehensive guidelines for authors submitting to major AI conferences. It helps authors audit originality, properly cite prior art (including preprints, workshop papers, and rejected versions), manage dual-submission risks, and transform the related work section from a mere list into a compelling, novel argument that clearly positions the contribution.

This guide details the complex, multi-stage review process for top-tier AI conferences like IJCAI. It covers strategies for Phase 1 summary rejection, managing conflicts of interest, understanding the roles of decision actors (PC, AC, SAC), and optimizing paper clarity to maximize acceptance chances. Use this when planning a submission strategy or interpreting reviewer feedback.

This guide offers detailed guidelines for assembling and auditing supplementary materials for top-tier AI conferences (e.g., IJCAI). It covers critical aspects like separating the technical appendix from resubmission files, ensuring anonymity across all artifacts, maintaining the self-contained nature of the core paper, and managing source code and data for maximum reproducibility.

This guide provides comprehensive strategic advice for authors submitting manuscripts related to Artificial Intelligence, Constraint Programming, and Operations Research (AI/OR) to top-tier conferences like CPAIOR. It helps refine scope, structure, evidence standards, and narrative framing to meet highly specialized reviewer expectations, ensuring the paper is positioned as a solid hybrid optimization contribution.

A comprehensive guide for authors submitting papers on 3D reconstruction, geometry, depth, and neural rendering to top-tier conferences like 3DV. It helps authors strategically position their work, refine the narrative, structure evidence, and measure fit against specific academic community expectations.

A comprehensive guide for authors submitting AI/ML papers to the International Conference on Learning Representations (ICLR). It helps authors position the work, optimize framing, assess evidence strength, and ensure the manuscript adheres to the rigorous standards of deep learning and representation learning required for a top-tier, open-review conference.

This guide provides a comprehensive framework for authors targeting elite AI/ML conferences like ICML. It covers academic positioning, identifying core ML contributions, structuring the narrative (Problem, Why Now, What is New), and establishing a rigorous evidence bar, including baselines and ablations. It also advises on distinguishing the work from closely related venues (e.g., NeurIPS, ICLR).

This skill is a strategic guide for authors submitting to top-tier AI conferences, specifically the International Conference on Principles of Knowledge Representation and Reasoning (KR). It helps users assess manuscript fit, framing, and evidence requirements. It provides deep guidance on the required scope, such as formal semantics, nonmonotonic reasoning, and ontologies, ensuring the paper is positioned correctly within the specialized KR community. Ideal for pre-submission strategy and manuscript re-framing.