CaveAgent突破传统无状态LLM限制，打造有状态运行时操作器，为智能体注入持久记忆。
arXiv:2601.01569v4 Announce Type: replace Abstract: LLM-based agents are increasingly capable of complex task execution, yet current agentic systems r…
提出无需额外训练即可增强任意开源多模态大模型对物体部件级点指向理解能力的新方法
arXiv:2606.29267v1 Announce Type: new Abstract: Visual grounding aims to associate free-form textual queries with specific regions in an image. While …
布局导向的细粒度RAG方法，破解多模态文档理解中复杂结构信息的获取难题
arXiv:2605.22829v1 Announce Type: cross Abstract: Multimodal Retrieval-Augmented Generation (RAG) has emerged as an effective paradigm for enhancing L…