An empirical study shows a quality-efficiency trade-off in LLM-generated SE taxonomies: TnT-LLM approaches human quality but over-generates, while CLIMB is 15-40x faster yet weaker on latent-concept categories.
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How Well Do LLMs Generate Taxonomies in the SE Domain? A Multi-perspective Evaluation Framework
An empirical study shows a quality-efficiency trade-off in LLM-generated SE taxonomies: TnT-LLM approaches human quality but over-generates, while CLIMB is 15-40x faster yet weaker on latent-concept categories.