Skill UI

This skill provides authors with a comprehensive guide to positioning their computer science manuscript for the AAAI/ACM Conference on AI, Ethics, and Society (AIES). It covers critical aspects such as framing the contribution, meeting evidence standards, addressing social impacts, and distinguishing the work from similar venues like FAccT. Use it to refine submissions focused on AI ethics, governance, and socio-technical methods.

This guide helps authors assess the suitability of their computer science manuscripts for the ACM International Conference on Multimedia (ACM MM). It provides detailed strategies for framing, highlighting multimodal contributions, structuring evidence, and aligning the work with top-tier academic conference expectations in multimedia retrieval, multimodal learning, and media applications.

Provides an expert framework for authors submitting to the Conference on Robot Learning (CoRL). It guides writers on how to re-frame general computer science manuscripts into specialized, robust robot-learning narratives. The guide covers defining the contribution type, establishing the evidence bar (from simulation to real-world transfer), and strategically positioning the work against major robotics conferences like ICRA and IROS.

A specialized routing tool designed for academic researchers submitting manuscripts to top-tier Computer Science and AI conferences. It helps users navigate complex decision points, such as selecting the best venue (e.g., ICML vs NeurIPS), matching contribution types (theory, system, empirical study), and adhering to specific submission guidelines and review constraints.

This comprehensive skill assists authors in evaluating the suitability and optimal framing of their computer science manuscript for the International Conference on Discovery Science. It provides deep, venue-specific guidance on required evidence, scope vocabulary (e.g., automated discovery, explainable patterns), and structural adjustments needed to emphasize the scientific discovery process, rather than just predictive results. Essential for optimizing high-level conference submission strategy.

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.