vision-language-reasoning-transfer

Transfer reasoning capabilities from text LLMs to visual domains using reinforcement learning, achieving human-level visual reasoning on complex benchmarks. 38B parameters match closed-source VLMs by optimizing cross-modal connector alignment and entropy-based reasoning signals.

Independent GitHub snapshot · Automated classification · Original documentation governs