Multimodal Large Language Models (MLLMs) have demonstrated remarkable reasoning capabilities across vision and language tasks. However, their massive computational and memory demands hinder real-world deployment. While recent efforts reduce costs by employing lightweight language backbones, existing paradigms remain co...
Peng-Cheng Zheng, Chao-Ning Zhang, Jia-Xing Yan et al.· 0 citations
Qwen-Planner-Agent is built, which achieves the best overall performance among all evaluated models and systems on MobilePA-Bench, improving over its base model across tool use, memory, skills, and sub-agent coordination.
Tingyu Qu, Wei-Gao Sun, Yuecheng Liu et al.· 0 citations
A budget-aware framework that systematically orchestrates when and what to teach and integrates a solvability-aware teacher gate to dictate the teacher model and a score-guided turn selection mechanism to decide what informative turns to retain is proposed.
Jian-Wei Zhang, Si-Han Cao, Peng-Cheng Zheng et al.· 0 citations
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