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University of Turku
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LLMs trained on a synthetic corpus can outperform native data benchmarks while using significantly fewer tokens, challenging the assumption that more data always leads to better performance.
Forget merging monolingual models for multilingual superpowers – this study reveals it's a recipe for performance collapse due to representational interference.
