Biography

Benjamin Heinzerling specializes in natural language processing and computational linguistics, with a research focus on understanding how language models internally represent and process information. His work explores how these models encode numerical properties, track entities, store relational knowledge, and represent factual information. Through publications at leading conferences such as ACL and EMNLP, his research contributes to deeper insights into the internal mechanisms of modern language models and advances our understanding of how they learn and retain knowledge.

He serves as Deputy Team Director of the RIKEN AIP Natural Language Understanding Team and holds the position of Specially Appointed Associate Professor at the Tohoku University Center for Language AI Research. His academic background includes a PhD in computational linguistics from Heidelberg University.