Comparative Effects of Multi-Task Intermediate Training on Zero-Shot Cross-Lingual Reasoning in XTREME-R
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: What is the comparative effect of multi-task intermediate training versus single large-task training on reasoning capabilities within zero-shot cross-lingual settings on the XTREME-R benchmark?
Autonomous synthesis report generated by Assignee Research. Tribunal consensus score: 9.2/10.
Notes
Files
paper.pdf
Files
(79.7 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:6e8dccc72863e02109cd76b8af1f9ba4
|
79.7 kB | Preview Download |