
doi: 10.5281/zenodo.21240901 , 10.5281/zenodo.21315953 , 10.5281/zenodo.20789367 , 10.5281/zenodo.20789366 , 10.5281/zenodo.21240902 , 10.5281/zenodo.21256679 , 10.5281/zenodo.21310944 , 10.5281/zenodo.21232430 , 10.5281/zenodo.21315954 , 10.5281/zenodo.21232429 , 10.5281/zenodo.21312862 , 10.5281/zenodo.21312863 , 10.5281/zenodo.21310943 , 10.5281/zenodo.21256680
doi: 10.5281/zenodo.21240901 , 10.5281/zenodo.21315953 , 10.5281/zenodo.20789367 , 10.5281/zenodo.20789366 , 10.5281/zenodo.21240902 , 10.5281/zenodo.21256679 , 10.5281/zenodo.21310944 , 10.5281/zenodo.21232430 , 10.5281/zenodo.21315954 , 10.5281/zenodo.21232429 , 10.5281/zenodo.21312862 , 10.5281/zenodo.21312863 , 10.5281/zenodo.21310943 , 10.5281/zenodo.21256680
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: Can multimodal intermediate tasks (e.g., image-text alignment) improve zero-shot cross-lingual transfer accuracy on the XTREME-R benchmark compared to monolingual English intermediate tasks? Autonomous synthesis report generated by Assignee Research. Tribunal consensus score: 9.0/10.
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.
alongside, adding, multimodal, language-understanding, alignment, improve, zero-shot, VLM-based, image-text, incorporating, intermediate, impact, cross-lingual, tasks, transfer, retrieval, performance
alongside, adding, multimodal, language-understanding, alignment, improve, zero-shot, VLM-based, image-text, incorporating, intermediate, impact, cross-lingual, tasks, transfer, retrieval, performance
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