Papers by Tianze Hua
mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models? (2024.findings-naacl)
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| Challenge: | Pretrained multilingual models exhibit cross-lingual transfer ability, which is often attributed to a learned language-neutral representation during pretraining. |
| Approach: | They propose a synthetic task, Multilingual Othello, as a testbed to investigate the factors that contribute to the learning of a language-neutral representation. |
| Outcome: | The proposed approach induces the learning of language-neutral representation and facilitates cross-lingual transfer. |