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cs.LG2026
Storage Is Not Strategy: State-Conditioned Support Control for LLM Unlearning
Tianhao Qian, Ziming Hong, Chongyang Gao +2
Many localized large language model (LLM) unlearning methods select a small parameter subset from a localization signal and keep it fixed during optimization. The parameters most a…
cs.LG2026
Relative Kinetic Utility: Calibrating Cross-Layer Credit for Global Structured LLM Pruning
Tianhao Qian, Guilin Qi, Jiayu Chen
Global structured pruning requires channels from different layers to compete under a shared sparsity budget, raising two coupled challenges: identifying which channels should be re…
cs.LG2026
PAC-CF: Calibrating Irreversible Frontier Pruning in LLM-Guided Search
Tianhao Qian, Jiayu Chen, Lixu Wang +1
LLM-guided search explores multiple candidate trajectories, but at substantial test-time cost. Pruning low-scoring frontier candidates can control this cost, yet it also turns pote…