Published June 30, 2026 | Version v1

Effectiveness of Intermediate-Task Training for Zero-Shot Cross-Lingual Transfer

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 tasks a

Research goal: How does the effectiveness of English intermediate-task training for zero-shot cross-lingual transfer compare to training on intermediate tasks in the target low-resource language, as measured by XTREME benchmark scores?

Autonomous synthesis report generated by Assignee Research. Tribunal consensus score: 9.3/10.

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: 9.3/10.

Files

paper.pdf

Files (75.8 kB)

Name Size Download all
md5:7ab318dd924fa5a8eaad75bf401d9528
75.8 kB Preview Download