Multilinguality Does not Make Sense: Investigating Factors Behind Zero-Shot Cross-Lingual Transfer in Sense-Aware Tasks (2025.emnlp-main)
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| Challenge: | Cross-lingual transfer allows models to perform tasks in languages unseen during training and is often assumed to benefit from increased multilinguality. |
| Approach: | They challenge this assumption by analyzing polysemy disambiguation and lexical semantic change in 28 languages and using confounding factors to account for perceived advantages. |
| Outcome: | The proposed models and benchmarks are compared across 28 languages and show that multilingual training is neither necessary nor beneficial for effective transfer. |
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