Papers with country mentions

1 papers
Geographical Erasure in Language Generation (2023.findings-emnlp)

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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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