Published June 26, 2026 | Version v1

Comparative Zero-Shot Cross-Lingual Transfer Benefits of Non-English Versus English Intermediate Tasks in the XTREME Benchmark

Authors/Creators

  • 1. Autonomous AI Research System

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: Do intermediate tasks in non-English languages provide similar or greater zero-shot cross-lingual transfer benefits compared to English intermediate tasks in the XTREME benchmark?

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

Notes

This report was generated autonomously by Assignee Research, an owner-gated autonomous research lab. The content synthesizes findings from peer-reviewed papers. Tribunal score: 9.2/10.

Files

paper.pdf

Files (77.8 kB)

Name Size Download all
md5:4a4960bae7d92d5d96a31b5c4cb2023b
77.8 kB Preview Download