基于视觉的OS自动化框架，让AI代理精准操控电脑，突破多模态LLM定位瓶颈。
Hi HN, I'm Smyan and I enjoy building agents. Modern multimodal LLMs are great at vision and perception but are quite poor at localization. This natur…
多模态大模型消除幻觉新方法：锐度感知鲁棒擦除，超越浅层遗忘，提升模型可靠性
arXiv:2601.16527v2 Announce Type: replace Abstract: Multimodal LLMs are powerful but prone to object hallucinations, which describe non-existent entit…
提出基于代理评估与稳定性感知排名的多模态大模型检查点选择新方法，提升选点鲁棒性与模型性能。
arXiv:2605.18852v1 Announce Type: new Abstract: Checkpoint selection for multimodal large language models (MLLMs) presents significant challenges when…
探讨多模态大模型在低资源语言环境下的实际构建挑战与方案
arXiv:2605.17152v1 Announce Type: new Abstract: Multimodal LLMs are evolving from vision-language to tri-modality that see, hear, and read, yet pipeli…