This research explores how continual pre-training with LoRA can help large language models internalize domain-specific insights beyond surface-level knowledge.

• Tests LLMs' ability to learn declarative, statistical, and probabilistic insights
• Focuses on critical domains of medicine and finance
• Demonstrates how specialized training enhances domain expertise
• Uses lightweight adaptation rather than full model retraining

For healthcare applications, this approach enables more reliable medical knowledge integration without expensive full-model training, potentially improving clinical decision support and medical education tools.

Learning Beyond the Surface: How Far Can Continual Pre-Training with LoRA Enhance LLMs' Domain-Specific Insight Learning?