Shypd.aiThe largest open index of AI toolsAwesome-Mixture-of-Experts-Papers is an open-source curated reading list of research papers on Mixture-of-Experts (MoE). It helps researchers stay updated on the latest developments in this booming field.
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Awesome-Mixture-of-Experts-Papers is a comprehensive, curated reading list dedicated to research in Mixture-of-Experts (MoE) models. This open-source GitHub repository provides an organized collection of papers from recent years, categorized by algorithm, system, and application, and further broken down by publication year. It serves as an invaluable resource for researchers, academics, and students looking to explore the cutting-edge advancements in MoE. The project encourages community contributions, allowing users to add missing papers or fix errors, ensuring the list remains current and accurate. It includes papers from major conferences like ICLR, AAAI, ACL, ICML, and NeurIPS, as well as arXiv preprints, offering a broad overview of the field's evolution.
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