可信检索与图评估新框架，为RAG系统可靠性提供评测基准。
arXiv:2607.03447v1 Announce Type: cross Abstract: Knowledge graphs (KGs) that underpin Graph-based Retrieval-Augmented Generation (Graph-RAG) are incr…
用迁移学习精准匹配FHIR问卷项与LOINC代码，解决医疗互操作性中的编码难题
arXiv:2606.15449v1 Announce Type: cross Abstract: Electronic prior authorization workflows require FHIR Questionnaire items to carry LOINC codes, yet …
用大模型引导索引优化，突破人-物交互检索的多参数耦合瓶颈，高效又精准。
arXiv:2606.05489v1 Announce Type: new Abstract: Retrieval systems underpin modern AI applications -- spanning visual search, recommendation engines, a…
多模态大模型如何让音频文本检索更贴近真实搜索？这篇论文用Omni-Embed-Audio挑战传统CLAP的局限性。
arXiv:2604.18360v2 Announce Type: replace-cross Abstract: Audio-text retrieval systems based on Contrastive Language-Audio Pretraining (CLAP) achieve …