Language Prompts Rewire Visual Tokens in Vision-Language Models
Researchers show that vision-language models don’t just read static visual tokens – natural-language prompts reshape the visual embeddings. They isolate a goal-relevant reference vector that generalizes across objects and tasks, and demonstrate attribute amplification in later layers, proving language directly recodes visual processing.