Preprint
Aug 2026
The Sparsity Whisperer
A family of difference-informed pruning methods built upon this principle are introduced, suggesting that preserving output differences is a broadly useful and composable signal for post-training LLM sparsification.
Linghao Kong, Inimai Subramanian, Micah Adler et al.
· 0 citations