arXiv 2610.10528 · cs.RO · 2026-10-07
Long-WAM: Scaling the Context of World-Action Models
Wei Huang, Bohan Zhang, Chenzhi Liu, Isabella Liu, Shuai Yang, Weian Mao, Luozhou Wang, Yicheng Xiao and 8 more
NVIDIA
In latest · #12 Added on 2026-10-21
One-line takeaway
Long-WAM scales the context of world-action models under real-time limits and finds autoregressive video pretraining makes long history pay off.
Long-WAM 研究在实时控制约束下给世界-动作模型加长上下文，自回归预训练的视频底座收益最大。
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Topics & disciplines
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About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
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