Cross-lingual Transfer Performance of English vs. Multilingual Intermediate Task Models on TyDi QA

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: How does the zero-shot cross-lingual transfer performance of models trained on English intermediate tasks compare to those trained on multilingual intermediate tasks when evaluated on the TyDi QA benchmark?

Autonomous synthesis report generated by Assignee Research. Tribunal consensus score: 7.8/10.