AIBullisharXiv – CS AI · 18h ago6/10
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Fast LLM-Based Semantic Filtering: From a Unified Framework to an Adaptive Two-Phase Method
Researchers present an adaptive two-phase semantic filtering method that improves LLM-based document classification efficiency by 1.6-2.0x compared to existing approaches. The method combines model-free clustering with online proxy training using soft labels and adaptive calibration, achieving 90% accuracy targets while reducing expensive LLM oracle calls.