CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark
机构 * Meta Reality Labs(Meta现实实验室) ; Meta Superintelligence Labs(Meta超智能实验室) ; FAIR, Meta(FAIR,Meta) ; Meta
专题命中 RAG评测 :RAG(title,abstract);retrieval-augmented generation(abstract)
AI 大模型
检索增强生成、向量检索、知识库问答和面向大模型的搜索系统。
机构 * Meta Reality Labs(Meta现实实验室) ; Meta Superintelligence Labs(Meta超智能实验室) ; FAIR, Meta(FAIR,Meta) ; Meta
专题命中 RAG评测 :RAG(title,abstract);retrieval-augmented generation(abstract)
机构 * 1 State Key Laboratory of Complex \& Critical Software Environment, School of Computer Science ; Engineering, Beihang University, China
专题命中 RAG评测 :RAG(abstract);分类 cs.CL、cs.AI
Comments Accepted by ICSE 2026. Code and data: https://github.com/SIMIAO515/SecureReviewer
机构 * ExplorAI, Department of Computer Science, University of Regina(ExplorAI,计算机科学系,里嘉大学)
专题命中 RAG评测 :RAG(abstract);分类 cs.AI