Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts
量化后的LLM看似准确率不变,但推理过程已悄然“空心化”,本文用六类故障图谱揭示这一隐患。
arXiv:2607.09999v1 Announce Type: cross Abstract: We show that post-training quantization can silently alter how large language models reason even whe…