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Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and Challenges

2025-01-13

Abstract excerpt

Large Language Models (LLMs) have become essential tools across various domains due to their impressive capabilities in understanding and generating human-like text. The ability to accurately answer multiple-choice questions (MCQs) holds significant value in education, particularly in automated tutoring systems and assessment platforms. However, adapting LLMs to handle MCQ tasks effectively remains challenging due...

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Literature Corpus work: 87ba4b6e-84e7-5629-914f-ff8d13689db4
DOI: 10.32388/z95x8o

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