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This paper compares semantic search dynamics between humans and LLMs using verbal fluency data, finding that humans exhibit more variable and exploratory search patterns that current models fail to reproduce.
Discussed how GitHub Copilot CLI integrates language server (LSP) to obtain semantic information, thereby enhancing code understanding in AI programming, and points out that AI programming needs to evolve from the text search layer to the semantic layer and runtime layer.