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cs.AI2025
QuarkMed Medical Foundation Model Technical Report
Ao Li, Bin Yan, Bingfeng Cai +16
Recent advancements in large language models have significantly accelerated their adoption in healthcare applications, including AI-powered medical consultations, diagnostic report…
cs.AI2025
Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models
Guanghao Zhou, Panjia Qiu, Cen Chen +4
The application of reinforcement learning (RL) to enhance the reasoning capabilities of Multimodal Large Language Models (MLLMs) constitutes a rapidly advancing research area. Whil…
cs.CV2025
QG-VTC: Question-Guided Visual Token Compression in MLLMs for Efficient VQA
Shuai Li, Jian Xu, Xiao-Hui Li +2
Recent advances in Multi-modal Large Language Models (MLLMs) have shown significant progress in open-world Visual Question Answering (VQA). However, integrating visual information…