Author

Martial Hebert

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Preprint Oct 2026

What 30,000 Hours of Ego-centric Video Does Not Teach

Overall, the results suggest that scaling ego-centric data brings agent modeling close to its limit while leaving its effects on the world far behind, and that closing this gap will depend on how models are trained, not only on how much data they see.

Jia-Hua Dong, Anurag Bagchi, Yash Jangir et al. · 0 citations

Jul 2026

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling

Unigen-AR, a framework that pairs a general-purpose multi-modal language model (MLLM) with an efficient next-scale visual auto-regressive (VAR) decoder, is proposed, establishing visual auto-regressive modeling as a compelling and efficient backbone for unified visual generation.

Zhipeng Bao, Zhen Zhu, Nupur Kumari et al. · arXiv.org · 0 citations