Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance
机构 * Quantiphi
专题命中 规划推理 :reasoning(title,abstract);planning(title);分类 cs.AI、cs.LG
Comments 12 pages, 2 figures
AI 大模型
大模型数学、逻辑、规划、多步推理和测试时计算能力。
机构 * Quantiphi
专题命中 规划推理 :reasoning(title,abstract);planning(title);分类 cs.AI、cs.LG
Comments 12 pages, 2 figures
机构 * WSE Research Group, Leipzig University of Applied Sciences(莱比锡应用科学大学WSE研究组) ; DICE Research Group, University of Paderborn(波德恩堡大学DICE研究组)
专题命中 规划推理 :reasoning(title,abstract);planning(abstract);分类 cs.CL、cs.AI
Comments During the final evaluation on the DBpedia- and Corporate-based KGQA benchmarks within the Text2SPARQL challenge 2025, our approach took first place among the other participants
机构 * Honda Research Institute, USA(本田研究院(美国)) ; Department of Mechanical Engineering, University of California Riverside(加州大学河滨分校机械工程系)
专题命中 规划推理 :planning(title,abstract)
Comments To appear at IROS '25. 8 pages. 3 tables. 6 figures. Project page: https://darshangm.github.io/papers/active-probing-multimodal-predictions/
专题命中 规划推理 :planning(abstract);分类 cs.AI、cs.LG
专题命中 规划推理 :planning(abstract)
机构 * RoboPI Laboratory, Dept. of ECE, University of Florida (UF)(罗波实验室,电子工程系,佛罗里达大学) ; FOCUS Laboratory, Dept. of ECE, University of Florida (UF)(焦点实验室,电子工程系,佛罗里达大学) ; Amazon Robotics(亚马逊机器人技术)
专题命中 规划推理 :planning(abstract)
Comments V2, includes suppl as appendix