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SEA-LION-Embedding: Open and Reproducible Text Embeddings for Southeast Asia
Text embeddings are fundamental to many downstream applications, making robustness important for real-world NLP. However, most recent state-of-the-art embedding models are not reproducible because they rely on closed or undisclosed training data, and they remain insufficiently robust for Southeast A
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