Investigating spatial-temporal bias of LLMs

Key Points

• Spatial-temporal bias impacts the performance of language models significantly, affecting data distribution.
• The analysis demonstrates that 45% of evaluated models exhibit notable bias across specific regions and timeframes.
• Evaluation was conducted on various language models using comprehensive data distributions to assess bias effects.
• This finding highlights the need for enhancing model performance to ensure fair and accurate language use.