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cs.LG2026
Relative Generalization Invariance of LLM Pretraining
Fengzhuo Zhang, Shuche Wang, Shenggui Li +7
Large Language Model (LLM) pretraining performance is jointly shaped by three components of the training triplet: the optimizer, model architecture, and training data stream. Howev…
cs.LG2026
Muon Learns More Robust and Transferable Features than Adam
Tianyu Ruan, Fengzhuo Zhang, Shuche Wang +1
Muon has recently emerged as a state-of-the-art optimizer for pretraining Large Language Models (LLMs) and vision classifiers. Despite its efficiency advantage over Adam and SGD, t…