| Challenge: | Large language models encode vast amounts of world knowledge but are at risk of inordinately capturing information about dominant groups. |
| Approach: | They propose to operationalise a form of geographical erasure wherein language models underpredict certain countries. |
| Outcome: | The proposed model underpredicts certain countries by a factor 3 . the model is based on large datasets and is able to mitigate the effects . |
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Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models (2024.emnlp-main)
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