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PAMI-GPT: knowledge-grounded LLMs for reliable pattern mining workflow generation

Aug 2026 · International Journal of Data Science and Analysis · Vol 22 · 0 citations · 41 references

TL;DR

Experimental evaluation on 300 realistic pattern mining tasks demonstrates consistent improvements in algorithm configuration accuracy, parameter compliance, and dataset specification correctness across zero-shot, one-shot, and few-shot settings, highlighting the effectiveness of inference-time domain grounding for enabling more reliable and reproducible pattern mining workflows without requiring model retraining.

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