audio-video-text

该论文研究了当音频、视频和文本三个通道的评分冲突时，策略如何在请求第三个来源与弃权之间做决策，提出阈值策略并在受控基准上评估其相对于多数投票和融合策略的效用表现。

This paper introduces jina-embeddings-v5-omni, a suite of multimodal embedding models that extend text embeddings to image, audio, and video using frozen-tower composition. The method trains only 0.35% of the total weights, maintaining text geometry while achieving competitive state-of-the-art performance with significantly lower computational cost.