Published August 26, 2026 | Version v1

Multilingual Intermediate-Task Training Effects on TyDiQA Zero-Shot Transfer Performance

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: What is the impact of multilingual intermediate-task training (vs. English-only) on accuracy and inference speed for zero-shot cross-lingual transfer in TyDiQA when evaluated on mT5-large?

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.

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