Date and Time
2023-10-10 17:30
2023-10-10 17:30
Location
Online
Knowledge Augmentation for Language Models
Modern language models have the capacity to store and use immense amounts of knowledge about real world. Yet, their knowledge about the world is often incorrect or outdated, motivating ways to augment their knowledge. In this talk, I will present two complementary avenues for knowledge augmentation: (1) a modular, retrieval-based approach which brings in new information at inference time and (2) a parameter updating approach which aims to enable models to internalize new information and make inferences based on it.
Online
Lifelong Learning
Speaker Information
Eunsol Choi, University of Texas at Austin