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FreeRet: MLLMs as Training-Free Retrievers
多模态大模型无需微调即可作为检索器，FreeRet方法突破传统范式。
arXiv:2509.24621v3 Announce Type: replace Abstract: Multimodal large language models (MLLMs) are emerging as versatile foundations for mixed-modality …
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STAR: Semantic-Tuned and Tail-Adaptive Retriever for Graph-Augmented Generation
图增强生成新方案：语义调优与尾部自适应检索，提升复杂查询效果。
arXiv:2605.18765v1 Announce Type: cross Abstract: To augment Large Language Models (LLMs) for multi-hop question answering, a mainstream solution with…
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Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction
利用检索器多样性提升掩码引导事实校正的忠实性，高效融合多源证据。
arXiv:2605.18776v1 Announce Type: cross Abstract: The rapid spread of misinformation on social media highlights the need for robust, automated fact co…