Madhavi Palla

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

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.