Papers with iterative SVD-based truncation
Iterative Multilingual Spectral Attribute Erasure (2025.emnlp-main)
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| Challenge: | Existing methods for debiasing are unable to exploit this opportunity because they operate on individual languages. |
| Approach: | They propose to iterate multilingual spectral attribute error (IMSAE) to mitigate joint bias subspaces across multiple languages through iterative SVD-based truncation. |
| Outcome: | The proposed method outperforms monolingual and cross-lingual approaches while maintaining model utility. |