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Fang-Jie Yu

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#machine learning Preprint Oct 2026

GROME: GROunding Factorized MEmory into Video World Models

GROME is introduced, a novel factorized memory framework that augments video world models for long-horizon coherence across both static scenes and dynamic entities and readily accommodates external observations as plug-and-play memory, unlocking flexible and controllable video continuation and scene exploration.

Fang-Jie Yu, Xiao-Xue Wu, Hai-Yu Zhang et al. · 0 citations
#artificial intelligence Preprint Oct 2026

CineMem: Attention-Aligned Fine-grained Memory Retrieval for Multi-Shot Long Video Generation

Autoregressive video generation relies on memory retrieval to model long-range dependencies. This capability becomes particularly critical for multi-shot generation, where models must reconcile substantial visual changes across shot transitions with persistent semantic continuity. Existing methods tend to perform memor...

Xiao-Xue Wu, Xin-Yu Gao, Fang-Jie Yu et al. · 0 citations
#artificial intelligence Preprint Aug 2026

PAVE: Predictive Alignment and Value-Guided Evolution for World-Action Policies

Every valid trajectory can teach what physically happened, while the actor is deployed only under the condition associated with relatively better actions, in \method, a direct world-action policy that combines outcome-agnostic predictive learning with outcome-aware policy improvement.

Bo-Tong Zhao, Fangjie Yu, Tim Yu et al. · 0 citations

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