Universal multimodal embeddings are becoming a core component of modern AI systems, enabling heterogeneous content to be represented in a shared space for applications such as retrieval, recommendation, classification, and agentic systems. In this report, we present WeMM-Embedding, a family of universal multimodal embe...
MMAgent-R$^2$, an agentic mRAG framework that integrates visual reranking and active rejection as its internal verification mechanism, is proposed and achieves joint optimization of external retrieval, internal verification, and answer generation via GRPO training.
Tao Zhang, Ziqi Zhang, Zongyang Ma et al.· arXiv.org· 0 citations
This paper proposes SegAnswer, which shifts the unit of zoom-in from the popular bounding box to pixel-level segmentation mask, and demonstrates its capability for reliable pixel grounding.
Yake Wei, Yuan Wang, Fengyun Rao et al.· arXiv.org· 0 citations
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