7 citations · 12 across the 11 of their papers we have counts for
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cs.LG2026
SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales
Mikail Khona, Aditya Vavre, Boxiang Wang +11
Higher-order optimizers such as Muon and SOAP offer faster convergence than AdamW, but their computational cost and numerical stability challenges have limited adoption at scale. I…
cs.SD2026
Do Models Hear Like Us? Probing the Representational Alignment of Audio LLMs and Naturalistic EEG
Haoyun Yang, Xin Xiao, Jiang Zhong +5
Audio Large Language Models (Audio LLMs) have demonstrated strong capabilities in integrating speech perception with language understanding. However, whether their internal represe…