Muhammed Nazmul Arefin

Privacy Personalization Trade offs in LLMs: The Impact of Stylometric Signal Reduction on User-Specific Text Generation

A controlled framework to isolate stylometric signals in LLM personalization using the LaMP-7 Twitter benchmark is introduced and shows that outputs conditioned on original profiles are nearly indistinguishable from human-authored ground truth, indicating that modern LLMs can closely reproduce an author's writing style...