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cs.LG2026
How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning
Jiangwei Chen, Xinyuan Niu, Rachael Hwee Ling Sim +3
Machine unlearning aims to remove the influence of specific forget training data due to privacy, copyright or bias concerns while maintaining the model performance on the remaining…
cs.LG2026
Rethinking Bayesian Optimization for Co-Optimizing LLM Training Configurations
Zhiliang Chen, Alfred Wei Lun Leong, Shao Yong Ong +6
Fine-tuning an LLM to maximize performance on a downstream task requires finding the optimal data and model configuration. This is a black-box optimization problem that Bayesian op…