Research paper analyzing how expert routing and load balancing behavior evolve through three distinct phases during Mixture-of-Experts model training. Provides technical insights into a core architecture used in modern large language models.
Research
Three Phases of Expert Routing: How Load Balance Evolves During Mixture-of-Experts Training
Research reveals how Mixture-of-Experts models optimize expert routing and load balancing across three predictable training phases, demystifying scaling dynamics in modern LLMs.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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