VideoLLaMA3-2B, Phi-3.5-vision-instruct, Qwen2.5-VL-7B-Instruct, InternVL2.5-38B

Optimizing Multimodal Emotion Analysis Through Agentic Prompt Patching

This research introduces a verification-based framework that refines multimodal emotion reasoning in AI agents. Instead of retraining models, the system identifies specific component failures and applies targeted prompt updates to improve performance.