Artificial Intelligence #sentiment analysis#multimodal
MAF Framework Dynamically Optimizes Prompting for Multimodal Sentiment Analysis
A new research paper proposes the Multimodal Adaptive Few-Shot Prompting (MAF) framework, which improves sentiment analysis in multimodal large language models (MLLMs) by dynamically retrieving and integrating query-relevant demonstrations. The method uses a lightweight coefficient network to fuse multimodal similarity scores and enhances prediction stability via majority voting.
Jun 16, 2026 1 source