Papers by Muhammad Alif Al Hakim
Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection (2026.findings-acl)
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| Challenge: | Existing quantization methods focus on general metrics like perplexity or accuracy on standard benchmarks. |
| Approach: | They propose a method that preserves fairness- and safety-critical weights during quantization. |
| Outcome: | The proposed method reduces bias and safety degradation without costly retraining or alignment while maintaining trustworthiness while retaining efficiency. |