What Breaks Under Pruning in Smart Homes, and When? Evaluating LLM Degradation Across Architectures and Task Complexity

arXiv:2609.17515 · cs.CL · Submitted 2026-09-15 · Read on arXiv

cs.CL

Submitted: 2026-09-15

Updated: 2026-09-15

Comments: Submitted to EACL Industry Track

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

Terminology

Pruning — 287× in this paper · explained in 4 episodes
Accuracy — 42× in this paper · explained in 1 episode
Transformer — 10× in this paper · explained in 2 episodes
Robustness — 9× in this paper · explained in 5 episodes
Grounding — 6× in this paper · explained in 3 episodes
Fine-Tuning — 4× in this paper · explained in 5 episodes
Benchmark — 3× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
Adam — 2× in this paper · explained in 2 episodes
Downstream Tasks — 2× in this paper · explained in 2 episodes
F1 Score — 2× in this paper · explained in 3 episodes
Mixture-of-Experts (MoE) — 2× in this paper · explained in 7 episodes
Sparsity — 2× in this paper · explained in 4 episodes
Supervised Fine-Tuning (SFT) — 2× in this paper · explained in 8 episodes
Agentic Coding — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Core — 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 13 episodes
Two-Stage Framework — 1× in this paper · explained in 2 episodes

Sources

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