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Plain English Papers

Step-by-step reasoning can fix madman logic in vision AI

LlamaV-o1 outperforms Gemini-1.5-Flash and Claude-3.5-Sonnet on a pattern recognition because it explains its thinking

Failing to plan is planning to fail, and the more you show your work the better you do (Page 14 of the paper).

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All LLMs use tokenization. Are we doing it totally wrong?

All LLMs use tokenization. Are we doing it totally wrong?

Slashing model size by 85% while redefining how we build adaptable, efficient LLMs

Imagen 3 generation results

Can image models understand what we’re asking for?

High-quality graphics vs high-quality understanding — which one matters more?