BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibration

BoostTaxo introduces a novel boosting-style LLM framework designed for zero-shot taxonomy induction, aiming to overcome limitations in generalization and efficiency of existing methods. It refines taxonomy construction through a coarse-to-fine parent identification process, leveraging retrieval-augmented definition refinement and hybrid candidate selection.