Quantization Degradation in Large Language Models: A Signal-Noise Perspective

arXiv:2608.08188 · cs.AI, cs.CL, cs.LG · Submitted 2026-08-08 · Read on arXiv

Chenxi Zhou, Pengfei Cao, Jinyu Ye, Bohan Yu, Haida Yu, Jiang Li, Jun Zhao, Kang Liu

cs.AI, cs.CL, cs.LG

Submitted: 2026-08-08

Updated: 2026-08-11

Code: https://github.com/Cfish808/LLM-Compression-Tool

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Quantization — 178× in this paper · explained in 15 episodes
• Benchmark — 21× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Calibration — 6× in this paper · explained in 9 episodes
• Consistency — 6× in this paper · explained in 3 episodes
• Trace — 6× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Downstream Tasks — 4× in this paper · explained in 2 episodes
• Error Decomposition — 4× in this paper · explained in 4 episodes
• Reconstruction Error — 4× in this paper · explained in 2 episodes
• Signal-to-Noise Ratio (SNR) — 4× in this paper · explained in 6 episodes
• Elias — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Papers — 2× in this paper · explained in 3 episodes
• Perplexity — 2× in this paper · explained in 3 episodes
• Scaling Laws — 2× in this paper · explained in 4 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Evaluation Protocol — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Language Models (LLMs) — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 9 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Performance Gap — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Quantization-Aware Training — 1× in this paper · explained in 3 episodes
• Transformers — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

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