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benchmark evaluation 1large language models 1quantization 1safety alignment 1sampling temperature 1

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1 paper

cs.LG2026

The Joint Effect of Quantization and Sampling Temperature on LLM Safety Alignment: A Factorial Analysis

Hari Prasad, Ritam Pal

The paper investigates how model quantization and higher sampling temperatures jointly affect the safety alignment of instruction-tuned large language models, finding that quantiza…