Abstracts: October 9, 2023
HUIZINGA: So in a few sentences, give us a brief introduction or overview of the issue or problem that your research addresses and why we should care about it.
ZHANG: Sure. Well, our research addresses the challenge of efficiently replicating the capabilities of large language models for targeted applications. Particularly, we focus on named entity recognition, or NER, and people should care because this work aims to create more cost-effective and transparent models that can recognize a wide range of entity types across various domains, which is crucial for knowledge extraction and has numerical practical applications.
HUIZINGA: So how does your approach, your particular approach, build on or differ from what’s been done previously in this field?
ZHANG: Well, our approach builds on the idea of instruction tuning, which