An adaptive two-phase semantic filter using clustering then a hybrid proxy trained on LLM confidence achieves 1.6-2.0x speedup over prior methods at 90% accuracy on 10K document corpora.
VLDB Endow.19, 5 (2026), 973–986
2 Pith papers cite this work. Polarity classification is still indexing.
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ProfiLLM deploys tool-augmented LLM agents to generate reusable global knowledge and utility-selected user profiles, delivering up to 6.14% AUC lift and measurable GMV gains in DiDi's live dispatcher.
citing papers explorer
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Fast LLM-Based Semantic Filtering: From a Unified Framework to an Adaptive Two-Phase Method
An adaptive two-phase semantic filter using clustering then a hybrid proxy trained on LLM confidence achieves 1.6-2.0x speedup over prior methods at 90% accuracy on 10K document corpora.
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ProfiLLM: Utility-Aligned Agentic User Profiling for Industrial Ride-Hailing Dispatch
ProfiLLM deploys tool-augmented LLM agents to generate reusable global knowledge and utility-selected user profiles, delivering up to 6.14% AUC lift and measurable GMV gains in DiDi's live dispatcher.