Prof. Gerald Penn
University of Toronto, Toronto, Canada
Title: Do Language Models Know Language?
Abstarct: Triumphalist portraits of large language models (LLMs) boast that
language models have mastered a level of language understanding that
natural language processing (NLP) researchers have laboured for years
to attain using complex architectures consisting of diverse component
models that each require large amounts of training data.
Do they? How do we know? And, if so, how do they manage this?
In this talk, we will examine some recent results in relation
to LLMs that cast doubt upon these claims, while affirming the utility
of LLMs in present-day NLP.
Bio: Download CV here