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Explore a 39-minute conference talk by Prof. Swarat Chaudhuri from UT Austin on symbolic reasoning using language model agents. Delve into cutting-edge research at the intersection of natural language processing and symbolic AI. Gain insights into how language agents can be leveraged for complex reasoning tasks. Learn about the potential applications and implications of this technology for artificial intelligence and machine learning. Discover more about Prof. Chaudhuri's work in computer science and AI through the provided link to his university profile. This talk is part of the ARO Metacognitive AI workshop series, focusing on predicting AI behavior. Access additional videos and topics from the event through the provided workshop link. The presentation is hosted on the Neuro Symbolic Channel, which offers a wealth of content on neurosymbolic AI, including tutorials, courses, and research findings from Arizona State University's AI program.