Author

Hang-Jun Ye

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Preprint Oct 2026

Learning to Retrieve: Internalizing Memory Retrieval for Video World Models

Video world models aim to generate explorable, 3D-consistent scene videos conditioned on camera trajectories. Existing approaches often rely on external memory systems that explicitly retrieve previously observed content to mitigate scene drift during long-horizon generation. However, these auxiliary memory pathways op...

Jia-Kui Hu, Tai-Lai Chen, Yu-Qi Pan et al. · 0 citations

Preprint Sep 2026

Beyond Retrieval Relevance: Scene-Grounded Risk Entailment for Vision-Language Driving

Retrieval-augmented generation (RAG) gives vision--language driving systems access to external safety knowledge, yet a retrieved risk rule may be relevant without applying to the current scene. A vision--language model (VLM) receiving such knowledge must ground objects, bind entities across time, and verify relations b...

Jia-Xin Liu, Rui-Lin Yu, Liang Peng et al. · 0 citations

Jul 2026

GeoWorldAD: Geometry World Action Model for Autonomous Driving

GeoWorldAD is proposed, a geometry world action model that grounds trajectory planning in ego-aligned 3D space and anticipates short-horizon scene evolution with latent future geometry tokens and progressively aggregates multi-scale present geometry and latent future geometry through iterative trajectory refinement.

Song-Yan Zhang, Jin-Yu Tian, Han-Bing Li et al. · arXiv.org · 1 citation