2 papers
cs.LG2025
When unlearning is free: leveraging low influence points to reduce computational costs
Anat Kleiman, Robert Fisher, Ben Deaner +1
As concerns around data privacy in machine learning grow, the ability to unlearn, or remove, specific data points from trained models becomes increasingly important. While state of…
cs.CL2025
The SMeL Test: A simple benchmark for media literacy in language models
Gustaf Ahdritz, Anat Kleiman
The internet is rife with unattributed, deliberately misleading, or otherwise untrustworthy content. Though large language models (LLMs) are often tasked with autonomous web browsi…