Author

Luke S. Zettlemoyer

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#machine learning Preprint Oct 2026

Scaling Laws for Multimodal Data Mixtures

This work derives data mixing scaling laws for three modalities: text, vision, and audio from Mixture-of-Experts (MoE) architectures, and provides a principled foundation for understanding the multimodal data mixtures needed to train frontier MLLMs.

Aditi Khandelwal, A. Tarun, Yi-Xuan Xu et al. · 0 citations