Author

Yuying Tian

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Jul 2026

Self-Evolving Learning for Embodied AI with Criticality Model

This work proposes a self-evolving method that reduces failure rates by 51--67% relative to trained baselines and by 8-25% relative to state-of-the-art vision-language-action models after replacing redundant nominal scenarios with diverse failure-prone ones.

Linxuan He, Yuying Tian, Ling-Xiang Fan et al. · arXiv.org · 0 citations

Preprint Aug 2026

UniJEPA: A Unified Joint-Embedding Predictive Architecture for Task-Agnostic Visual World Modeling

UniJEPA is presented, a unified JEPA that jointly learns photometric prediction (image-level transformations) and temporal prediction (video-level next-state dynamics) in one shared latent space and shows that the same latent space supports controllable abstraction.

Andriana Lanji, Dawei Liu, Jin Li et al. · 0 citations