Investigating Fine-Tuning of Language Models for Multiple-Choice Questions
This thesis investigates the positional and contextual bias of large language models (LLMs) when used to answer multiple-choice questions (MCQs). Given the increasing use of generative language models in fields ranging from cybersecurity to biomedical research, it is important to understand the caus...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2024
|
| Online Access: | https://hdl.handle.net/1721.1/157591 |