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Unifying Depth and Width Pruning for LLMs via Binary Knapsack Optimization

Palaash Goel, Ayan Sengupta, Akshay Nambi, Tanmoy Chakraborty · Aug 13, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 28% Sparse protocol signal Freshness: Warm Status: Ready
General
  • Evaluations across four diverse architectures over a set of 18 tasks spanning five domains demonstrate SNIPER's consistent improvements in average performance retention and task-level stability over six state-of-the-art pruners.
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