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#large language models Open access Aug 2026

Language Identification Loss Impact on mT5 Zero-Shot Cross-Lingual Performance

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Fine-tuning mT5 for Zero-shot Cross-lingual Transfer in XTREME-R Languages

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Language Identification Loss Impact on mT5 Zero-Shot Cross-Lingual Performance

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Performance of English vs Multilingual Intermediate-Task Trained mT5 Models in Zero-Shot Cross-Lingual Transfer on XTREME-R

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Fine-tuning mT5 for Zero-shot Cross-lingual Transfer in XTREME-R Languages

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Inference Efficiency Trade-offs in Zero-shot Cross-lingual Transfer with mT5 Models

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Adversarial Fine-Tuning Effects on Zero-Shot Cross-Lingual Robustness in XTREME-R

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Adversarial Robustness in Zero-Shot Cross-Lingual Transfer Models Post-English QA Training

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Impact of Intermediate-Task Training Sequence Length on Zero-Shot Cross-Lingual Transfer Inference Latency in XTREME-R

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Intermediate-Task Training and Multilingual Pretraining for Zero-Shot Cross-Lingual Transfer on XTREME-R

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Intermediate-Task Training Effects on Zero-Shot Cross-Lingual Model Inference Efficiency in XTREME-R

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...

Assignee Research · 0 citations
#large language models Open access Aug 2026

Adversarial Robustness in Zero-Shot Cross-Lingual Transfer Models Post-English QA Training

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...

Assignee Research · 0 citations

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