Intermediate-Task Reasoning Complexity and Cross-Lingual Transfer Performance on XTREME-R

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 choice of intermediate-task reasoning complexity in English affect zero-shot cross-lingual transfer performance on XTREME-R, as measured by accuracy deltas across target languages with varying script families (e.g., Latin vs. CJK)? Autonomous synthesis report generated by Assignee Research. Tribunal consensus score: 9.3/10.