In his talk, Ali discussed the limitations of Large Language Models (LLMs) in performing symbolic reasoning, which is crucial for structured decision-making in telecom applications. He explored how integrating symbolic reasoning into LLMs can enhance logical inference, rule-based processing, and deterministic problem-solving. Ali presented hybrid AI approaches that combine LLMs with knowledge graphs, constraint solvers, and formal logic systems to improve reliability in tasks like network optimization, anomaly detection, and automated troubleshooting. By bridging statistical learning with symbolic reasoning, his talk highlighted opportunities for creating more explainable, robust, and telecom-adapted AI solutions.

This speech by Ali Mokh was held on October 15th at DSC DACH 25 in Vienna.

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