MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation

Researchers introduce MuonRec, a new optimization framework for recommendation systems that significantly outperforms the widely-used Adam/AdamW optimizers. The framework reduces training steps by 32.4% on average while improving ranking quality by 12.6% in NDCG@10 metrics across traditional and generative recommenders.