5 citations · 9 across the 5 of their papers we have counts for
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cs.CL2025★ 2 cited
EmbeddingGemma: Powerful and Lightweight Text Representations
Henrique Schechter Vera, Sahil Dua, Biao Zhang +86
We introduce EmbeddingGemma, a new lightweight, open text embedding model based on the Gemma 3 language model family. Our innovative training recipe strategically captures knowledg…
cs.CL2023★ 5 cited
Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech Translation
Minsu Kim, Jeongsoo Choi, Dahun Kim +1
This paper proposes a textless training method for many-to-many multilingual speech-to-speech translation that can also benefit the transfer of pre-trained knowledge to text-based…