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cs.AI2025★ 1 cited
Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning
Ruiqi Wu, Yuang Yao, Tengfei Ma +11
Multimodal large language models (MLLMs) have recently demonstrated remarkable reasoning abilities under reinforcement learning (RL) paradigm. However, most existing multimodal med…
cs.AI2024
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey
Ao Fu, Yi Zhou, Tao Zhou +5
World models and video generation are pivotal technologies in the domain of autonomous driving, each playing a critical role in enhancing the robustness and reliability of autonomo…