Published June 20, 2026 | Version v1

Linguistic Similarity and Zero-Shot Cross-Lingual Transfer in XTREME

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: Does the effectiveness of English intermediate-task training for zero-shot cross-lingual transfer depend on the linguistic similarity between the target language and English, and how does this correlation affect performance on XTREME?

Autonomous synthesis report generated by Assignee Research. Tribunal consensus score: 9.0/10.

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: 9.0/10.

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