Skill UI

A comprehensive checklist for auditing and preparing main-track conference submissions for top-tier AI venues like IJCAI. This guide covers critical compliance points, including double-blind anonymity enforcement, strict page limits, LLM usage policies, author details verification, and identifying potential desk-reject risks before final submission.

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.

A comprehensive framework for researchers to assess if their AI research contribution is best suited for a major conference like IJCAI, or if a highly specialized venue (such as NeurIPS, ICML, CVPR, or ACL) would provide a clearer audience. It guides decisions based on technical depth, problem scope, and contribution type.

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 targeting top-tier conferences like ICAPS. It assists in re-framing automated planning and scheduling manuscripts, providing detailed advice on structuring the contribution, identifying necessary empirical/theoretical evidence, optimizing scope vocabulary, and strategically positioning the work against related venue submissions. Use this tool for venue selection, manuscript calibration, and strengthening the submission narrative.

A comprehensive guide for authors targeting the International Conference on Autonomous Agents and Multiagent Systems (AAMAS). This skill helps authors strategically position their work by focusing on core themes like autonomous agents, multiagent learning, game-theoretic interaction, and decentralized decision-making. It covers submission framing, evidence requirements, and risk assessment to ensure manuscripts align with the venue's technical focus.

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.

This guide helps authors strategically position their computer science manuscript for the International Conference on Theory and Applications of Satisfiability Testing (SAT). It covers core topics including MaxSAT, SMT interfaces, and proof complexity, advising on necessary evidence, proper framing, and aligning the contribution with the specific requirements of this highly specialized venue.

This skill assists researchers in assessing the suitability of their experimental robotics manuscript for the International Symposium on Experimental Robotics (ISER). It provides detailed guidance on conference fit, required experimental evidence, scope re-framing, and positioning relative to other major robotics venues, ensuring the work emphasizes real-world validation and empirical findings.

A comprehensive guide for authors positioning robotics research papers for top-tier conferences like ISRR. It helps assess scope fit, define the required evidence bar, re-frame content from journal/arXiv styles, and strategically compare the manuscript against similar venues (e.g., CoRL, ICRA). Ideal for optimizing conference submission strategy in embodied intelligence and foundational robotics.

This skill guides authors on how to strategically position their research for the INTERSPEECH conference. It covers core topics such as speech recognition, synthesis, paralinguistics, and audio-language modeling. Use it to re-frame manuscripts from journal or arXiv styles into a selective CS conference narrative, ensuring the work meets the rigorous standards of audio-specific evaluation, datasets, and error analysis expected by the field.

A comprehensive guide for researchers submitting work to INTERSPEECH. It details how to package and manage various artifacts—including code, audio samples, and trained models—through the conference lifecycle. The document emphasizes maintaining anonymity during review, ensuring scientific reproducibility, managing complex data licenses, and adhering to ethical guidelines for voice data and synthetic media release.