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arXiv 2609.38057 · cs.CV · 2026-09-29

EVO-WAM: Evolving World Action Models through Video-Action Verification

Shiyang Zhou, Xionghao Wu, Wenbo Li, Shenghe Zheng, Jiyao Zhang, Songsong Yu, Yijun Yang, Jianhui Liu and 6 more

Harbin Institute of Techonology, Shenzhen

In latest · #177 Added on 2026-10-21

One-line takeaway

EVO-WAM adapts world-action models to new tasks by learning from their own verified generated video-action trajectories.

EVO-WAM 让世界-动作模型从自己生成并通过校验的视频-动作轨迹中学习新任务,无需新示范。

49HF upvotes
54GitHub stars
1Citations (Semantic Scholar)
54.0Buzz score

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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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