Emotional Task

Emotional task processing in artificial intelligence focuses on enabling machines to understand, generate, and respond appropriately to human emotions. Current research emphasizes improving the emotional intelligence of large language models (LLMs) through techniques like chain-of-thought prompting and multi-task learning, often incorporating distribution matching or adversarial learning to enhance performance across diverse datasets and domains. This field is significant for advancing human-computer interaction, particularly in applications like affective computing, where accurate emotion recognition and generation are crucial for creating more empathetic and effective AI systems.