作者位次 #3/9ACL 2026Findings· Findings of ACL
D a M o: Data Mixing Optimizer in Fine-tuning Multimodal LLM s for Mobile Phone Agents
Kai Shi · Jun Yang · Ni Yang · Binqiang Pan · Qingsong Xie · Zhangchao · Zhenyu Yang · Tianhuang Su · Haonan Lu
摘要
Mobile Phone Agents (MPAs) have emerged as a promising research direction due to their broad applicability across diverse scenarios. While Multimodal Large Language Models (MLLMs) serve as the foundation for MPAs, their effectiveness in handling multiple mobile phone tasks simultaneously remains...