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TopoFormer achieves state-of-the-art performance in graph learning by seamlessly integrating topological structures into attention-based models, outperforming traditional methods.
Quantization can induce significant behavioral changes in LLMs that traditional metrics fail to detect, revealing an illusion of equivalence between quantized and base models.