RAG / 检索增强生成

FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step Computation

FinMMDocR：基于场景意识、文档理解与多步骤计算的金融多模态推理基准测试

Zichen Tang, Haihong E, Rongjin Li, Jiacheng Liu, Linwei Jia, Zhuodi Hao, Zhongjun Yang, Yuanze Li, Haolin Tian, Xinyi Hu, Peizhi Zhao, Yuan Liu, Zhengyu Wang, Xianghe Wang, Yiling Huang, Xueyuan Lin, Ruofei Bai, Zijian Xie, Qian Huang, Ruining Cao, Haocheng Gao

专题命中 多模态RAG ：retrieval-augmented generation(abstract)；RAG(abstract)

AI总结 FinMMDocR通过引入场景意识、文档理解和多步骤计算，推动多模态大语言模型在现实金融场景中的推理能力提升，其包含12种隐含金融场景、9类丰富文档及平均11步推理任务。

Comments Accepted by AAAI-26 Main Track

Journal ref Proc. AAAI 2026 (Vol. 40, No. 30), pages 25858-25866