Search papers, labs, and topics across Lattice.
2
0
3
0
TabuLM outperforms multilingual baselines by over 11 points, showcasing the power of morphology-aware embeddings in low-resource language models.
KinyaEmbed outperforms state-of-the-art multilingual models by over 40% in Kinyarwanda sentence embeddings, setting a new standard for low-resource languages.
