LogCopilot is an LLM framework that builds a hierarchical knowledge base from logs and generates/executes LogQL queries from natural language instructions, reporting 76.8% average accuracy across four datasets.
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2026 2verdicts
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The paper identifies gaps in LLM spatial reasoning and advocates graph-enhanced approaches for future spatial search systems.
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LogCopilot: Automating Log Aggregation Analysis through Large Language Models
LogCopilot is an LLM framework that builds a hierarchical knowledge base from logs and generates/executes LogQL queries from natural language instructions, reporting 76.8% average accuracy across four datasets.
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Graph-Enhanced Large Language Models for Spatial Search
The paper identifies gaps in LLM spatial reasoning and advocates graph-enhanced approaches for future spatial search systems.