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Nagoya University's Ruri v3 Beats OpenAI Embeddings on Japanese Retrieval

A 315M-parameter Japanese embedding model built on ModernBERT-Ja tops JMTEB benchmarks while handling 8K context, outperforming OpenAI and billion-parameter rivals.

Nagoya University's Ruri v3 Beats OpenAI Embeddings on Japanese Retrieval
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AlphaSignal
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A 315M-parameter Japanese embedding model built on ModernBERT-Ja tops JMTEB benchmarks while handling 8K context, outperforming OpenAI and billion-parameter rivals.

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

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