Cross-Modal Attention Acts as a Frequency Filter: Why Verbose Prompts Improve Robustness in Vision-Language Models

A mechanistic study showing that cross-modal attention in vision-language models behaves as a frequency filter, explaining why verbose prompts improve robustness.

Auto-scored: This is a technical interpretability paper with no direct risk or mitigation implications for AI safety.