AAAI-25 Tutorial

Neuro-Symbolic AI for EGI: Explainable, Grounded, and Instructable Generations

This tutorial introduces Neuro-Symbolic AI as a method to enhance Large Language Models (LLMs). It focuses on making LLMs more robust, explainable, and instructable by combining symbolic knowledge structures with statistical learning techniques. The goal is to address the limitations of black-box LLMs, particularly in terms of transparency and domain-specific protocol understanding.