Abstract: In this paper, an improved multi-step model predictive control (MPC) algorithm is investigated for nonlinear networked control systems (NCSs) subject to stealthy denial-of-service (DoS) ...

Abstract: Mathematical reasoning remains an ongoing challenge for AI models, especially for geometry problems, which require both linguistic and visual signals. As the vision encoders of most MLLMs ...

Most current benchmarks, such as GSM8K and MATH, evaluate LRMs by asking one question at a time. While effective for initial model development, this isolated question approach faces two critical ...

Word problems are often described as “math stories” and can put complex mathematical operations into a more approachable form for students. But students often struggle when they see a combination of ...

Navigating lengthy documents in Microsoft Word can often feel like a never-ending scroll-a-thon. Imagine the efficiency boost if you could see multiple pages at once, easily compare layouts, and spot ...

Japanese AI lab Sakana AI has introduced a new technique that allows multiple large language models (LLMs) to cooperate on a single task, effectively creating a ...

Word problems try and tell students a story about the math problem in front of them. They are a useful way to connect abstract numbers to concrete situations, so students can learn early on to apply ...

Official repository for the paper "MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?". 🌟 For more details, please refer to the project page with dataset exploration ...

Practical word problems are often considered one of the most complex parts of elementary school mathematics. They require students to understand the context of a math problem, identify what the ...

Enzymes are amazing catalysts. These proteins are made of nothing more than a handful of Earth-abundant elements, and they promote a vast array of reactions, convert chemical energy to physical motion ...