Metacognitive LLM for Scientific Discovery

Watch a 16-minute research presentation by Chandan Reddy from Virginia Tech exploring metacognitive Large Language Models for feature optimization and scientific discovery. The talk delves into interesting concepts around symbolic regression as part of the METACOG-25 program. Learn about cutting-edge approaches at the intersection of language models and scientific discovery processes. The presentation is hosted on the Neuro Symbolic Channel, which features content on the integration of symbolic methods (like logic programming) and deep learning, originally derived from AI courses at Arizona State University.