GitHub

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...
来自MSN

Multiplication hack you’ll never forget

Multiplication hack you’ll never forget 🔁!! What Venezuelans say about Trump’s incursion isn’t what we’ve been told: Full Comment podcast Golden Globes 2026: The best looks from the red carpet Why ...
IEEE

Using Large Language Models to Extract UML Class Diagrams from Java Programs

Abstract: Many organizations rely on software systems to perform their core business operations. These systems often require modernization to accommodate new requirements and demands over time. Visual ...
IEEE

Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs

Abstract: Java offers the Java Native Interface (JNI), which allows programs running in the Java Virtual Machine to invoke and be manipulated by native applications and libraries written in other ...
来自MSN

How am I just learning this hot cocoa hack

How am I just learning this hot cocoa hack? A simple trick that makes your cocoa richer, smoother, and way more satisfying. #HotCocoaHack #WinterDrinks #CozyVibes #DrinkTips Trump repeats wild Bin ...
ti inside

Santander achieves 98% accuracy in converting programs to newer versions of the Java ...

Integrating artificial intelligence into business areas, adopting global AI-based platforms, and building a robust ecosystem with technological partnerships—these were the three pillars on which ...