EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models

Researchers have developed EMO-R3, a new framework that enhances emotional reasoning capabilities in Multimodal Large Language Models through reflective reinforcement learning. The approach introduces structured emotional thinking and reflective rewards to improve interpretability and emotional intelligence in visual understanding tasks.