Exposure bias in large language models is the discrepancy between the distribution of conditioning contexts seen during training, which uses ground-truth tokens via teacher forcing, and the distribution seen during inference, which uses model-generated tokens.

Authors

• Person: M. Brenndoerfer Organization: mbrenndoerfer.com
  Hallucination Causes: Why Language Models Fabricate Facts

Sources

• Hallucination Causes: Why Language Models Fabricate Facts mbrenndoerfer.com M. Brenndoerfer · mbrenndoerfer.com via serper

Referenced by nodes (2)

• Large Language Models concept
• exposure bias concept