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cs.LG2026
Muon in Associative Memory Learning: Training Dynamics and Scaling Laws
Binghui Li, Kaifei Wang, Han Zhong +2
Muon updates matrix parameters via the matrix sign of the gradient and has shown strong empirical gains, yet its dynamics and scaling behavior remain unclear in theory. We study Mu…
cs.LG2025
Reasoning in Diffusion Large Language Models is Concentrated in Dynamic Confusion Zones
Ranfei Chen, Ming Chen, Kaifei Wang
Diffusion Large Language Models (dLLMs) are rapidly emerging alongside autoregressive models as a powerful paradigm for complex reasoning, with reinforcement learning increasingly…
cs.LG2025
pUniFind: a unified large pre-trained deep learning model pushing the limit of mass spectra interpretation
Jiale Zhao, Pengzhi Mao, Kaifei Wang +12
Deep learning has advanced mass spectrometry data interpretation, yet most models remain feature extractors rather than unified scoring frameworks. We present pUniFind, the first l…