MLSys Supplementary Paper Organizer
Structures and optimizes MLSys paper submissions by strategically splitting content between the 10-page main body and unlimited supplementary appendix.
MLSys Supplementary is a specialized academic writing skill designed for researchers submitting to the Conference on Machine Learning and Systems (MLSys). Since MLSys reviewers are explicitly not required to read supplementary material, this skill enforces a strict split strategy: making the 10-page main body standalone and acceptance-ready while organizing hyperparameter matrices, workload traces, sensitivity ablations, and anonymized artifact descriptions into a structured, audit-ready appendix. It ensures double-blind anonymity compliance, prevents log discrepancies between drafts, and builds an appendix layout that easily transitions into later artifact evaluations.