arXivAI Research
Why Standard Metrics Fail: A Spectral Theory of LLM Graph Reconstruction
為什麼標準指標不夠用？大語言模型圖形重建的譜理論與失真邊界
This paper proves that the Wasserstein distance of Laplacian spectra in LLM graph reconstruction is strictly bracketed by edge counts, revealing why aggregate metrics fail to capture complex structural editing.
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