Papers with spatial probing task

1 papers
Pre-Trained Language Models Represent Some Geographic Populations Better than Others (2024.lrec-main)

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Challenge: Existing studies have focused on measuring the degree to which pre-trained language models capture purely linguistic knowledge and reasoning abilities and world knowledge.
Approach: They use geography to demarcate different populations around the world and comparable corpora to measure how well two families of LLMs perform across these different populations.
Outcome: The results show that pre-trained models perform better for some populations than others.

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