Open Sentence Embeddings for Portuguese with the Serafim PT* encoders family
<|reference_start|>Open Sentence Embeddings for Portuguese with the Serafim PT* encoders family: Sentence encoder encode the semantics of their input, enabling key downstream applications such as classification, clustering, or retrieval. In this paper, we present Serafim PT*, a family of open-source sentence encoders for Portuguese with various sizes, suited to different hardware/compute budgets. Each model exhibits state-of-the-art performance and is made openly available under a permissive license, allowing its use for both commercial and research purposes. Besides the sentence encoders, this paper contributes a systematic study and lessons learned concerning the selection criteria of learning objectives and parameters that support top-performing encoders.<|reference_end|>
@article{gomes2024open,
    title={Open Sentence Embeddings for Portuguese with the Serafim PT* encoders
  family},
    author={Lu'is Gomes and Ant'onio Branco and Jo~ao Silva and Jo~ao
  Rodrigues and Rodrigo Santos},
    journal={arXiv preprint arXiv:2407.19527},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.19527},
    primaryClass={cs.CL}
}