Semantic Processing

Semantic processing, the computational understanding of meaning in language, aims to enable machines to interpret and reason with textual information as humans do. Current research heavily focuses on evaluating and improving the semantic capabilities of large language models (LLMs), particularly analyzing their internal mechanisms using techniques like concept editing and probing their representations of linguistic categories. These efforts are crucial for enhancing the accuracy and reliability of LLMs across diverse NLP tasks, ultimately leading to more robust and interpretable AI systems with broader applications.