SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM Inference

arXiv:2610.12327 · cs.LG, cs.CL · Submitted 2026-10-08 · Read on arXiv

cs.LG, cs.CL

Submitted: 2026-10-08

Updated: 2026-10-08

Project page: https://wang-qitong.github.io/SparseDecoding

Terminology

• Calibration — 92× in this paper · explained in 7 episodes
• Pruning — 74× in this paper · explained in 4 episodes
• Sparsity — 56× in this paper · explained in 4 episodes
• Decode — 31× in this paper · explained in 2 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Core — 7× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Optimal Brain Surgeon — 3× in this paper
• Reconstruction Error — 3× in this paper · explained in 2 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Elias — 2× in this paper · explained in 2 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Parsimony — 1× in this paper · explained in 2 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Evaluating Large Language Models Trained on Code
• ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation
• The Pile: An 800GB Dataset of Diverse Text for Language Modeling
• The Llama 3 Herd of Models
• Accelerating Sparse Deep Neural Networks
• Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
• Qwen3 Technical Report

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