面向边缘AI的多维压缩与动态推理协同方案，显著降低端侧模型部署成本，值得关注。
arXiv:2607.06982v1 Announce Type: cross Abstract: Convolutional neural networks (CNNs) have demonstrated encouraging results in image classification t…
量化压缩不再掉精度，按token动态分配层计算，推理效率与质量兼得。
arXiv:2602.10431v4 Announce Type: replace Abstract: Large language models (LLMs) demand substantial computational and memory resources, posing challen…
多模态大模型安全新方案：提出动态推理的政策自适应护栏，应对VLMs在消费、医疗等场景的部署风险。
arXiv:2606.22873v1 Announce Type: cross Abstract: Vision-language models (VLMs) are increasingly deployed in consumer, medical, financial, and enterpr…
运用思维理论动态建模对手想法，让大模型说服力更接近人类。
arXiv:2505.22961v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown promising potential in persuasion, but existing work…