This is a practical, easy to download implemenation of 1D, 2D, and 3D sinusodial positional encodings for PyTorch and Tensorflow. This also works on tensors of the form (batchsize, ch, x), etc. See ...
Code for "Independent-Component-Based Encoding Models of Brain Activity During Story Comprehension" (Hari et al., 2026), to be published in CCN Proceedings (2026). Figure 1 from the paper. fMRI data ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
生成式大语言模型(LLM)普遍存在事实幻觉缺陷,模型会自主生成不存在、符合语义逻辑的域名地址。攻击者利用该稳定幻觉特征,提前注册此类虚构域名并部署仿冒站点实施钓鱼、恶意软件分发,该新型攻击被 Palo Alto Networks Unit 42 ...
Abstract: Transformer-based models have demonstrated state-of-the-art performance in various intelligent coding tasks such as code comment generation and code completion. Previous studies show that ...
On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that ...
Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...
Claude cannot think; it can only imitate. You must treat it like a fancy autocomplete and not like a programmer.