Plain English Papers Creating artificial doubt significantly improves AI math accuracy LLMs are better at math with a "verified reasoning trajectory" An example of intrinsic self-reflection during rStar-Math deep thinking (from the paper).
All LLMs use tokenization. Are we doing it totally wrong? Slashing model size by 85% while redefining how we build adaptable, efficient LLMs
Can image models understand what we’re asking for? High-quality graphics vs high-quality understanding — which one matters more?