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Explore a seminar on enhancing communication between humans and AI agents presented by Khanh Nguyen, a postdoctoral researcher at Princeton University. Delve into new training and evaluation frameworks designed to improve AI agents' ability to learn from human language and actively request and interpret information. Discover Nguyen's proposed learning framework for agents to learn from descriptive human language, and examine new benchmarks that measure an agent's capacity to seek and utilize contextually relevant information from humans. Learn about the development of AI agents capable of requesting rich, contextual information and their superior performance compared to agents lacking this ability. Gain insights into future directions for expanding AI agents' communication capabilities and cognitive models in this hour-long presentation that bridges the fields of computer vision, natural language processing, and machine learning.
