monet-latent-visual-reasoning

Enable multimodal LLMs to generate and reason with latent visual embeddings as intermediate thoughts: implement supervised fine-tuning to produce continuous visual representations, then optimize via VLPO to treat embeddings as learnable actions in reinforcement learning.

Independent GitHub snapshot · Automated classification · Original documentation governs