2 papers
cs.LG2026
LEAP: Learnable End-to-End Adaptive Pruning of Large Language Models
Mohammad Mozaffari, Younes Hourri, Mohammad Rastegari +1
Unstructured sparsity is now natively accelerated by recent GPU kernels and dataflow hardware, shifting the bottleneck from inference execution to the pruning algorithm. State-of-t…
cs.LG2026
PATCH: Learnable Tile-level Hybrid Sparsity for LLMs
Younes Hourri, Mohammad Mozaffari, Maryam Mehri Dehnavi
Large language models (LLMs) deliver impressive performance but incur prohibitive memory and compute costs at deployment. Model pruning is an effective way to reduce these overhead…