Ghosted Layers recovers accuracy in layer-pruned LLMs via a closed-form unconstrained linear operator that aligns boundary activations using a small calibration set.
Smith, and Hannaneh Hajishirzi
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
Ghosted Layers recovers accuracy in layer-pruned LLMs via a closed-form unconstrained linear operator that aligns boundary activations using a small calibration set.