arXiv · NLP· Henrique Schechter Vera, Sahil Dua, Jovan Andonov, Sara Smoot, Sebastian Russo, Ivan Llanos, Max Matveev, Jae Hyeon Yoo, Kat Black, Shih-Cheng Huang, Josiah Aklilu, Maarten Grootendorst, Omar Sanseviero, Chandramouli Amarnath, Ian Ballantyne, Zhe Li, Daniel Salz, Ibrahim Alabdulmohsin, Ilya Philippov, Kristen Quan, Glenn Cameron, Edouard Yvinec, Luciano Martins, Doug Reid, Sindhu Raghuram Panyam, Weiyi Wang, Hengxuan Ying, Madhuri Shanbhogue, Tanmaya Dabral, Shanfeng Zhang, Juyeong Ji, Renjie Wu, Joe Zou, Xu Chen, Yunan Zhang, Yu-Hui Chen, Matthew Soulanille, Vinod Mamillapalli, Yi-Chun Kuo, Wai Hon Law, Matt Kreileder, Alice Zheng, Suril Shah, Mogan Shieh, Pooja Consul, Alberto Montes, Andreas Hess, Andres Sevilla, Babak Samari, Brendan McCloskey, Brian Potetz, Daniel Cer, Georgios Kathareios, Gustavo Hern\'andez \'Abrego, Hesen Zhang, Ji Ma, Jiaxing Wu, Keegan Mosley, Paul Suganthan, Rui Meng, Shen Gao, Shengcao Cao, Yi-Ting Chen, Yichang Chen, Zhongli Ding, Kendra Byrne, Cormac Brick, Olivier Lacombe, Qin Yin, Tris Warkentin, Armand Joulin, Tom Duerig, Mojtaba Seyedhosseini·· 4 小时前精选AI 评分70
EmbeddingGemma 2：统一且高效的多模态嵌入模型
EmbeddingGemma 2: Unified and Efficient Multimodal Representations
AI 导读
EmbeddingGemma 2 是一个开源的多模态嵌入模型，原生支持文本、图像、音频、视频及其组合的统一表示。通过简化的逐层嵌入和多阶段课程学习，该模型在各模态、跨模态及混合模态评估中建立了新的帕累托前沿，性能优于专业模型及体积为其 2 至 12 倍的模型。
推荐理由
开源的 EmbeddingGemma 2 在多个模态基准上表现超过更大规模模型，并支持轻量级部署的灵活配置。
来源：arXiv · NLP · arxiv.org