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cs.CL2026
Deployable Per-Instance Multi-Layer Activation Steering for Large Language Models
Muhammad Faishal Adly Nelwan, Alfan Farizki Wicaksono
Activation steering edits the behaviour of a frozen language model by adding a learned vector to its residual stream, and current practice fixes the injection layers globally per t…
cs.CL2026
Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection
Muhammad Alif Al Hakim, Alfan Farizki Wicaksono, Fajri Koto
Quantization is widely adopted to reduce the computational cost of large language models (LLMs); however, its implications for fairness and safety, particularly in dynamic quantiza…