English(EN) Reason What Matters: Retrieval-Grounded Reasoning for Universal Multimodal Embeddings

新的ReWAM框架提高了多模态嵌入检索效率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-15 04:00

研究人员推出Reason What Matters (ReWAM)，一个旨在改进大规模检索任务的通用多模态嵌入（UME）的新框架。ReWAM解决了现有方法中的局限性，例如在嵌入前生成完整的链式思考（CoT）推理所引入的延迟，以及GRPO中的统一优势分配。该框架结合了检索感知自蒸馏（RASD）以通过基于证据的指导来完善推理，以及检索自适应推理（RAI）以通过提前停止无效推理来优化追踪计算。在MMEB-V2和MRMR上的实验表明，ReWAM显著提高了检索性能和推理吞吐量，使得增强推理的UME更适合广泛部署。 AI

影响提高了多模态检索任务的效率，使得先进的推理能够实际应用于大规模部署。

排序理由详细介绍多模态嵌入新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Mingzhou Jiang, Peixi Wu, Hang Cheng, Yunhao Zhou, Biao Yang, Wei Yuan, Yun Li, Fan Yang, Wenwu Ou, Honghui He · 2026-09-15 04:00

Reason What Matters：面向通用多模态嵌入的检索增强推理

arXiv:2609.15296v1 Announce Type: new Abstract: Universal multimodal embedding (UME) learns unified representations across modalities, enabling a single model to support diverse retrieval tasks. Recent methods use Chain-of-Thought (CoT) reasoning to better interpret multimodal in…

本文如何被排名

报道来源 [1]

Reason What Matters：面向通用多模态嵌入的检索增强推理

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