Berkeley R Andrus

Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs

Large transformer-based language models have achieved incredible success at various tasks which require narrative comprehension, including story completion, answering questions about stories, and generating stories ex nihilo. However, due to the limitations of finite context windows, these language…