Author

Renuka Oladri

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Jul 2026

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.

Renuka Oladri, Mohana Priya, Jerry Wu · arXiv.org · 0 citations