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cs.AI2026
verdi: retrieval is not transfer for continual world model optimization
Junyu Wu, Shiqin Nie, Youyi Kou +9
Foundation world models have made remarkable progress in planning, simulation, and embodied intelligence. However, optimizing a pretrained world model toward a user-specified objec…
cs.AI2026
Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling
Sen Cui, Jingheng Ma
World models have recently re-emerged as a central paradigm for embodied intelligence, robotics, autonomous driving, and model-based reinforcement learning. However, current world…
cs.AI2026
Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision support
Shuying Chen, Sen Cui, Zhong Cao
In this work, we propose Oph-Guid-RAG, a multimodal visual RAG system for ophthalmology clinical question answering and decision support. We treat each guideline page as an indepen…