Multilingual Intermediate-Task Training for Zero-Shot Cross-Lingual Robustness in XTREME
Description
Intermediate-task training---fine-tuning a pretrained model on an intermediate task before fine-tuning again on the target task---often improves model performance substantially on language understanding tasks in monolingual English settings. We investigate whether English intermediate-task training is still helpful on non-English target tasks. Using nine intermediate language-understanding tasks, we evaluate intermediate-task transfer in a zero-shot cross-lingual setting on the XTREME benchmark. We see large improvements from intermediate training on the BUCC and Tatoeba sentence retrieval tas
Research goal: Can multilingual intermediate-task training (vs. English-only) further enhance robustness in zero-shot cross-lingual evaluation on XTREME?
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