LLM-Aided A* Search in Non-Geometric Network Graphs
LLM增强的A*算法突破几何限制,巧用语言模型引导非几何网络图的最优路径搜索
arXiv:2606.23136v1 Announce Type: cross Abstract: Finding the shortest path in non-geometric network graphs, where edge weights encode arbitrary metri…
LLM增强的A*算法突破几何限制,巧用语言模型引导非几何网络图的最优路径搜索
arXiv:2606.23136v1 Announce Type: cross Abstract: Finding the shortest path in non-geometric network graphs, where edge weights encode arbitrary metri…
多模态大模型能否胜任复杂路线规划?这篇论文构建MapTab基准,系统性评估MLLMs在异构图中的多标准路径规划能力。
arXiv:2602.18600v3 Announce Type: replace Abstract: Systematic evaluation of Multimodal Large Language Models (MLLMs) is crucial for advancing Artific…
经典Dijkstra算法被重新审视,在无限换乘公共交通中或挑战RAPTOR主流地位,无预处理路径规划新视角。
arXiv:2603.11729v3 Announce Type: replace-cross Abstract: In recent years, RAPTOR based algorithms have been considered the state-of-the-art for path-…
一款帮你将目标拆解为可执行路径的规划工具,可视化每一步并依次推进。
Article URL: https://pathfinderofficial.vercel.app/ Comments URL: https://news.ycombinator.com/item?id=48166766 Points: 3 # Comments: 0