Training-free knowledge transfer across model scales through activation-guided pruning
Read the original at arxiv.org→arXiv:2608.13596v1 Announce Type: new Abstract: Heterogeneous model fusion seeks to combine models that differ in tasks, initializations, architectures, or scales. We study an underexplored cross-scale setting:...
Original headline: "Training-Free Knowledge Transfer Across Model Scales through Activation-Guided Pruning"
Coverage timeline
- Aug 17, 04:00 UTC arXiv cs.LG lead source Training-Free Knowledge Transfer Across Model Scales through Activation-Guided Pruning
- Aug 18, 04:00 UTC arXiv cs.CL Batch-wise Adaptive Pruning: Periodic Neuron Activation-Aware Weight Pruning for Language Reasoning Model