作者位次 #2/5ICLR 2026Poster· Social Aspects / Trustworthy Machine Learning
Fairness via Independence: A General Regularization Framework for Machine Learning
Yezi Liu · Hanning Chen · Wenjun Huang · Yang Ni · Mohsen Imani
社会与人本OpenReview
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Yezi Liu · Hanning Chen · Wenjun Huang · Yang Ni · Mohsen Imani
Wenjun Huang · Shenghao Fu · Yian Jin · Yang Ni · Ziteng Cui · Hanning Chen · Yirui He · Yezi Liu · Sanggeon Yun · SungHeon Jeong · Ryozo Masukawa · William Youngwoo Chung · Mohsen Imani
Yezi Liu · Hanning Chen · Wenjun Huang · Yang Ni · Mohsen Imani
Large Language Models (LLMs) encode vast factual knowledge, yet their inability to selectively forget specific information hinders privacy protection, bias mitigation, and post-deployment correction. We present LoRA-based Unlearning with Negative Examples (LUNE), a lightweight framework that perf...