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A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification

arXiv cs.CL ↗ · 2026-07-22 Cached

SIFT introduces a self-improving document classifier that uses a cheap SPLADE-LightGBM pipeline and an LLM judge to continuously teach itself, while a frozen-gate safety mechanism prevents silent regression, enabling autonomous retraining without human labeling overhead.

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