Mohana Priya

Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts

It is shown that post-training quantization can silently alter how large language models reason even when task accuracy is preserved, and Hollow Convergence is established as a deployment-relevant failure mode that standard evaluation pipelines cannot catch.