Empathetic communicator. With the rapid development of AI, conversational agents have garnered
extensive attention in research fields in various forms, such as personalized custom roles and virtual
chatbots [480]. It has found practical applications in everyday life, business, education, healthcare,
and more [481; 482; 483]. However, in the eyes of the public, agents are perceived as emotionless
machines, and can never replace humans. Although it is intuitive that agents themselves do not possess
emotions, can we enable them to exhibit emotions and thereby bridge the gap between agents and
humans? Therefore, a plethora of research endeavors have embarked on delving into the empathetic
capacities of agents. This endeavor seeks to infuse a human touch into these agents, enabling them to
detect sentiments and emotions from human expressions, ultimately crafting emotionally resonant
dialogues [484; 485; 486; 487; 488; 489; 490; 491]. Apart from generating emotionally charged
TheRiseandPotentialofLargeLanguageModel BasedAgents