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

SEA-Embedding: Open and Reproducible Text Embeddings for Southeast Asia arXiv:2606.03027v1 Announce Type: new 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-Embedding, a fully open and reproducible text-em