Enabling Agents to Communicate Entirely in Latent Space
智能体不再依赖自然语言,直接在潜在空间高效沟通,突破传统交互瓶颈。
arXiv:2511.09149v5 Announce Type: replace-cross Abstract: While natural language is the de facto communication medium for LLM-based agents, it present…
智能体不再依赖自然语言,直接在潜在空间高效沟通,突破传统交互瓶颈。
arXiv:2511.09149v5 Announce Type: replace-cross Abstract: While natural language is the de facto communication medium for LLM-based agents, it present…
探索AI潜在空间中的重叠流形结构,一个引人深思的开源项目。
Article URL: https://github.com/PJHkorea/Egregore/blob/main/integrated_egregore_core_test_v6_4.py Comments URL: https://news.ycombinator.com/item?id=4…
融合潜在空间分析与可解释不确定性,提升黑色素瘤诊断的临床信任度
arXiv:2506.18414v3 Announce Type: replace-cross Abstract: Melanoma is a highly aggressive skin cancer, making early and accurate diagnosis critical. W…
用降维技术揭示大模型内部隐藏的几何结构,直观理解语言模型如何表征知识。
arXiv:2511.21594v3 Announce Type: replace Abstract: Large language models (LLMs) achieve state-of-the-art results across many natural language tasks, …
新型LLM推理加速方法,成对输入输出实现潜在多token预测,显著提升效率。
arXiv:2605.27255v1 Announce Type: cross Abstract: Long chain-of-thought reasoning has made autoregressive decoding the dominant inference cost of mode…
无监督学习捕捉结构连接组的采集变异性,混合潜在空间建模开拓神经科学新视角。
arXiv:2605.13933v1 Announce Type: cross Abstract: Acquisition differences across sites, scanners, and protocols in dMRI introduce variability that com…
少步图像生成新突破,Sphere潜编码器高效合成高质量图像,训练更稳定可扩展。
arXiv:2605.15592v1 Announce Type: new Abstract: Few-step image generation has seen rapid progress, with consistency and meanflow-based methods signifi…