CHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models
This episode discusses 'CHRONOBERG,' a paper addressing AI models' inability to understand language as it evolves over time. Hosts explain that words change meaning and emotional weight across centuries. They examine the dataset built from Project Gutenberg, noting that current models struggle with semantic drift and applying modern contexts to historical texts.