Papers by Sahar Kianian

1 papers
Cross-Lingual NLU: Mitigating Language-Specific Impact in Embeddings Leveraging Adversarial Learning (2024.lrec-main)

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Challenge: Low-resource languages and computational expenses pose significant challenges in the domain of large language models.
Approach: They propose a novel approach that uses adversarial techniques to mitigate the impact of language-specific information in contextual embeddings generated by large multilingual language models.
Outcome: The proposed approach excels in zero-shot scenarios for Latin languages like Spanish, but fails to perform for languages distant from English, such as Thai and Persian.

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