2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU
Zhenyu Ning, Jieru Zhao, Qihao Jin +2
Multimodal Large Language Models (MLLMs) are distinguished by their multimodal comprehensive ability and widely used in many real-world applications including GPT-4o, autonomous dr…
cs.CV2024★ 2 cited
OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving
Julong Wei, Shanshuai Yuan, Pengfei Li +3
The rise of multi-modal large language models(MLLMs) has spurred their applications in autonomous driving. Recent MLLM-based methods perform action by learning a direct mapping fro…