Grammar Concept Annotation at Scale: Deployed Fine-Tuned Small Language Models Outperform Prompted Frontier Models

arXiv:2610.10827 · cs.CL, cs.AI · Submitted 2026-10-07 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

Benchmark — 21× in this paper · explained in 2 episodes
Ablation — 8× in this paper · explained in 1 episode
Fine-Tuning — 6× in this paper · explained in 5 episodes
LLM judge — 4× in this paper · explained in 2 episodes
Accuracy — 3× in this paper · explained in 1 episode
Robustness — 3× in this paper · explained in 5 episodes
Adaptation — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Calibration — 2× in this paper · explained in 7 episodes
LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
Commentary — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Copula — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Pairwise Comparisons — 1× in this paper · explained in 2 episodes
Pruning — 1× in this paper · explained in 4 episodes
Scaffolding — 1× in this paper · explained in 3 episodes
Sparsity — 1× in this paper · explained in 4 episodes

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