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University Physics LLM: Problem Solving with AI

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University Physics LLM
(2025_Undergraduated)
2025.3.28
Joonghui Cho
Brain Reverse Engineering and Imaging Laboratory
Department of Electrical Engineering
KAIST
1
Introduction
2
Motivation
Use of advanced concepts
2) Not specialized for physics problem tasks
GPT often produce incorrect answers due to a lack of
domain-specific reasoning.
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3
Objective
Developing an LLM for reliable and step-by-step solutions to university physics problems
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Method
5
Method
1. Data Preparation
6
Method
2. Fine-Tuning
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Method
3. RAG Retriever
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Method
4. Problem Solving
9
Method
4. Problem Solving
10
Method
5. LaTeX Conversion
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Results (1)
12
Experiments
Experiment overview
13
Experiments
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Results (2)
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