Activation-aware pruning preserves perplexity but amplifies bias in LLMs, with 47-59% of previously neutral items developing new stereotypical responses at 70% sparsity.
Accuracy is Not All You Need
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Weight Pruning Amplifies Bias: A Multi-Method Study of Compressed LLMs for Edge AI
Activation-aware pruning preserves perplexity but amplifies bias in LLMs, with 47-59% of previously neutral items developing new stereotypical responses at 70% sparsity.