An Agentic Approach with Evidence-Grounded Verification for Multimodal Emotion Reasoning in Conversation

Researchers proposed an agentic framework for traceable multimodal emotion reasoning that uses modality-specific perception agents to analyze visual, acoustic, and lexical inputs, an integration agent to combine observations with retrieved examples, and an evidence-grounded verification stage with deterministic checks and entailment validation for incorrect predictions.