阿斯塔纳时间
AI QAZAQSTANKZ · AI测试版

哈萨克斯坦人工智能与高科技领域的智能门户

Research1 分钟阅读

内容来自原始来源:

arXiv — cs.AI

在 arXiv — cs.AI 阅读全文

本内容来自公开来源。若发布内容影响您的权利 → 申请删除信息

标题为英语Joint, Decoupled, or Agent: When Each Multimodal Alignment Paradigm Wins

arXiv:2610.24108v1 Announce Type: new Abstract: Jointly pretrained multimodal encoders are a common way to combine modalities, while alternatives integrate their information during downstream training or inference. When does each approach win? We compare three paradigms,…

arXiv — cs.AI作者: Yi Fang, Gaurav Srivastava, Sirui Ding, Xuan Wang2026年10月20日 (18小时前)
提供 1 种语言版本

AI 摘要:要点

  • arXiv:2610.24108v1 Announce Type: new Abstract: Jointly pretrained multimodal encoders are a common way to combine modalities, while alternatives integrate their information during downstream training or inference
  • When does each approach win
  • We compare three paradigms,…
Research
KZ·AI 9076
Инсайт дня

Joint, Decoupled, or Agent: When Each Multimodal Alignment Paradigm Wins

标签:#arXiv
Поделиться:

相关文章

返回列表