Papers by Jaakko Paavola
Data-Centric Continual Pre-training for 500+ Languages: A New Bilingual Translation Corpus and Multilingual Models (2026.findings-acl)
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| Challenge: | Large language models pre-trained on massive data have promoted multilingual natural language processing (NLP). |
| Approach: | They construct a bilingual translation corpus with 2,500 language pairs and develop a suite of four models with parallel data. |
| Outcome: | The proposed model suites are evaluated across 7 tasks and 12 benchmarks. |