Author

Weiming Hu

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Jul 2026

MMAgent-R2: Learning to Rerank and Reject for Agentic mRAG

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

SRA-Det: Learning Omni-Grained Open-Vocabulary Detection Beyond Category Names

A Semantic-Retrieval-Augmented Detector (SRA-Det) is proposed that uses an attention-based module to retrieve multiple semantic facets from token-level text features, and a soft-min matching rule that behaves like a differentiable logical AND over these facets, ensuring that all key attributes are satisfied.

Li Yang, Boyu Cai, Wei Liu et al. · 1 citation