LLM&KG - Large Language Models and Knowledge Graphs

The project will contribute to the activities of COST Action CA23147 - GOBLIN - in the areas related to using large language models (LLM) and advanced machine learning methods for engineering knowledge graphs (KG) across languages and, in the opposite direction, employing KG for enhancing reliability and interpretability of LLM, mitigating their biases and hallucinations, and evaluating new generations of LLM.