1
Agentic Neural Architecture Search
突破传统NAS依赖人工搜索空间的限制，借助LLM在开放空间中自主生成最优网络架构。
arXiv:2607.07984v1 Announce Type: new Abstract: Neural architecture search (NAS) methods have grown increasingly efficient, yet they remain bounded by…
2
Reimagining Workspace Search with Cognee, Knowledge Graphs, and Multi-Hop Reasoning
用Cognee、知识图谱与多跳推理，破解文档分块导致的结构丢失问题，重塑企业工作空间搜索。
The promise of Enterprise AI is simple: give an LLM access to your company’s internal tools, and let it answer complex organizational questions. But i…
3
Graph-Enhanced Large Language Models for Spatial Search
用图结构增强大语言模型，提升空间搜索能力，是AI与地理信息交叉的前沿探索。
arXiv:2606.22909v1 Announce Type: cross Abstract: There have been many recent improvements in the ability of Large Language Models (LLMs) to perform c…