The paper introduces MIRAGE, a framework for evaluating LLMs' ability to simulate human behaviors in murder mystery games. MIRAGE uses four methods: TII, CIC, ICI and SCI to assess the LLMs' role-playing proficiency. Experiments show that even GPT-4 struggles with the complexities of the MIRAGE framework.
Researchers created a cross-cultural corpus of annotated verbal and nonverbal behaviors in receptionist interactions. The corpus includes native speakers of American English and Arabic role-playing scenarios at university reception desks in Doha, Qatar, and Pittsburgh, USA. The manually annotated nonverbal behaviors include gaze direction, hand gestures, torso positions, and facial expressions. Why it matters: This resource can be valuable for the human-robot interaction community, especially for building culturally aware AI systems.
MBZUAI students participated in the Climate Ambassadors Programme (CAP) at Expo City Dubai, role-playing a COP28 session. Representing different countries, the students developed innovative climate change solutions, emphasizing AI's role. The event, part of a series leading up to COP28, saw MBZUAI ambassadors highlighting the need for proactive environmental action. Why it matters: This initiative showcases the potential of AI-focused education in addressing global climate challenges and promoting youth engagement in sustainability efforts within the UAE.