Robust finetuning procedures and retrieval-augmented generation can improve the balance of training data, which helps mitigate availability bias in large language models.

Authors

• Person: Not available Organization: medRxiv
  Medical Hallucination in Foundation Models and Their ...

Sources

• Medical Hallucination in Foundation Models and Their ... www.medrxiv.org medRxiv via serper
• Medical Hallucination in Foundation Models and Their Impact on ... www.medrxiv.org medRxiv via serper

Referenced by nodes (4)

• Large Language Models concept
• Retrieval-Augmented Generation (RAG) concept
• fine-tuning concept
• training data concept