SEA-LION-Embedding: Open and Reproducible Text Embeddings for Southeast Asia

Excerpt

arXiv:2606.03027v2 Announce Type: replace Abstract: 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 Asian languages. We present SEA-LION-Embedding, a fully open and reproducible text-embedding pipeline for Southeast Asian languages trained only on p