Zero-shot Cross-lingual Reasoning in mT5-Large: Comparing XTREME-U and Multilingual Benchmark Intermediate Tasks

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 impact of English intermediate-task training on zero-shot cross-lingual reasoning in mT5-Large compare when using XTREME-U intermediate tasks versus tasks from other multilingual benchmarks like XTREME-R or TypoLogical?

Autonomous synthesis report generated by Assignee Research. Tribunal consensus score: 9.2/10.