Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets
Zhangyang Yao, Haiyan Zhao, Haoyu Wang +1
Mixed-precision quantization improves the budget--accuracy trade-off for large language models (LLMs) by allocating more bits to sensitive modules. However, automating this allocat…
cs.LG2026
MeGU: Machine-Guided Unlearning with Target Feature Disentanglement
Haoyu Wang, Zhuo Huang, Xiaolong Wang +3
The growing concern over training data privacy has elevated the "Right to be Forgotten" into a critical requirement, thereby raising the demand for effective Machine Unlearning. Ho…