Hot-Start from Pixels: Low-Resolution Visual Tokens for Chinese Language Modeling

Researchers developed a novel approach for Chinese language modeling using low-resolution visual images of characters instead of traditional text tokens. The method achieved comparable accuracy (39.2%) to index-based models while showing faster initial learning, demonstrating that visual structure can effectively represent logographic scripts.