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StarWM: Self-Supervised Trained Attention Routing for Robust World Models
StarWM uses self-supervised dynamics to route attention for selective reconstruction, yielding robust world models that preserve task-relevant states and discard distractors across video backgrounds.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5