Papers with SOTA massively multilingual models

1 papers
On Evaluating and Mitigating Gender Biases in Multilingual Settings (2023.findings-acl)

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Challenge: Existing benchmarks and resources for evaluating gender biases in multilingual settings are limited.
Approach: They propose to extend DisCo to different Indian languages using human annotations to evaluate gender biases in multilingual models.
Outcome: The proposed benchmarks and mitigation techniques are extended beyond English to evaluate gender biases in multilingual models.

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