AURA: A Multi-Agent Intelligence Framework for Knowledge-Enhanced Cyber Threat Attribution
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(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。
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
专题命中 RAG评测 :retrieval augmented generation(abstract);RAG(abstract)
Comments 14 pages, 13 figures, AsiaCCS 2025
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
Comments Accepted in International Conference on Computer Communications and Networks (ICCCN 2025)
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
Comments Accepted by FSE 2025 Industry Track
机构 * Sprinklr
专题命中 RAG评测 :RAG(abstract);分类 cs.IR、cs.CL、cs.AI
专题命中 RAG评测 :retrieval augmented generation(abstract);RAG(abstract)
Comments arXiv admin note: text overlap with arXiv:2406.01407
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
Comments 14 pages, to be published at the 26th International Conference on Artificial Intelligence in Education (AIED '25)
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
专题命中 RAG评测 :retrieval augmented generation(abstract);RAG(abstract)
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
Comments Presented at the 5th CHI Workshop on Human-Centered Explainable AI (HCXAI)
专题命中 RAG评测 :retrieval augmented generation(abstract);RAG(abstract)
专题命中 RAG评测 :retrieval augmented generation(abstract);RAG(abstract)
Comments 8 pages, 7 figures
专题命中 RAG评测 :retrieval augmented generation(abstract);RAG(abstract)
Comments Accepted to ICLR 2025; Project page: https://visual-haystacks.github.io
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
Comments 38 pages, 3 figures, 1 table
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
Comments 12 pages (references included), 6 figures and 3 tables. New version updated with fixed site and github repo and along with some minor adjustements
专题命中 RAG评测 :retrieval-augmented generation(abstract);分类 cs.IR、cs.CL、cs.AI
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
Comments submitted to IEEE IoTM
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
专题命中 RAG评测 :RAG(abstract);分类 cs.IR、cs.CL、cs.AI
Comments EMNLP 2024 Main
专题命中 RAG评测 :RAG(abstract);分类 cs.IR、cs.CL、cs.AI
Comments under review
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
Comments 12 pages, 5 figures
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
专题命中 RAG评测 :retrieval augmented generation(abstract);RAG(abstract)
Comments ACL 2024 Main Conference
专题命中 RAG评测 :RAG(abstract);分类 cs.IR、cs.CL、cs.AI
专题命中 RAG评测 :retrieval-augmented generation(abstract);RAG(abstract)
对Nature Portfolio元分析文章进行LLM代理基准测试
机构 * Tsinghua University(清华大学)
专题命中 RAG评测 :RAG(abstract_cn);分类 cs.IR、cs.CL;retriever(comments)
AI总结 提出MetaSyn数据集,包含442篇专家策划的元分析,用于评估LLM代理在检索-筛选-综合全流程中的表现,发现当前系统在筛选阶段存在严重瓶颈。
Comments 17 pages, 8 figures, 11 tables. Code and evaluation: https://github.com/THUIR/MetaSyn Dataset: https://huggingface.co/datasets/THUIR/MetaSyn Model: https://huggingface.co/BFTree/MA-Retriever