Unifying large language models (LLMs) and knowledge graphs (KGs) can address the shortcomings of LLMs such as lack of factual knowledge, hallucinations and lack of interpretability. Integrating LLMs with knowledge graphs enhances accuracy, contextual understanding, and scalability by leveraging structured, interconnected data.

In this presentation, the main aspects which would be discussed

1. KG-enhanced LLMs generation, which incorporate KGs during the pre-training and inference phases of L...

Data scientist with expertise in machine learning, deep learning. Background in Quantum Chemistry (PhD from TU Berlin).