Semantic Scale

Semantic scale research explores how meaning is represented and processed across different levels of granularity, from individual words to complex scenes. Current efforts focus on developing methods to measure and model semantic scale, particularly using large language models and advanced techniques like item response theory and transformer architectures to analyze text, images, and video data. This work is crucial for improving various applications, including AI trust assessment, ideological analysis, and enhancing the performance of multimodal models in tasks like video understanding and semantic segmentation. The ability to effectively represent and manipulate semantic scale promises significant advancements in artificial intelligence and related fields.