2 papers
cs.CL2026
CALIBURN: Self-Calibrated LLM Unlearning Alignment
Zhengbang Yang, Yisheng Zhong, Junyuan Hong +1
LLM unlearning aims to remove the influence of undesirable knowledge from pretrained language models, which offers a practical mechanism for addressing safety and privacy concerns.…
cs.LG2025
DeepOSets: Non-Autoregressive In-Context Learning with Permutation-Invariance Inductive Bias
Shao-Ting Chiu, Junyuan Hong, Ulisses Braga-Neto
In-context learning (ICL) is the remarkable ability displayed by some machine learning models to learn from examples provided in a user prompt without any model parameter updates.…