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PII Detection on Crash narratives dataset

100Precision

Presidio

Updated 1mo ago

Evaluation Results

Method	Links
Presidio 2026.04		100	100	100	-
Llama3.1-8B prompting 2026.04		100	5	10	-
Gemma-27B prompting(few shot) 2026.04		100	100	100	-
Fine-tuned LLM (Llama3.1-8B) 2026.04		100	33	50	-
Agentic Workflow 2026.04		100	100	100	-
Agentic Workflow 2026.04		100	64	78	-
Gemma-27B prompting(few shot) 2026.04		98	45	61	-
Fine-tuned LLM (Llama3.1-8B) 2026.04		94	70	80	-
Agentic Workflow 2026.04		93	76	84	-
Fine-tuned LLM (Llama3.1-8B) 2026.04		91	86	88	97
Presidio 2026.04		88	94	91	-
Gemma-27B prompting(few shot) 2026.04		88	94	91	-
Agentic Workflow 2026.04		88	94	91	-
Agentic Workflow 2026.04		82	94	87	96
Gemma-27B prompting(few shot) 2026.04		78	65	71	93
Gemma-27B prompting(few shot) 2026.04		61	89	72	-
Fine-tuned LLM (Llama3.1-8B) 2026.04		56	56	56	-
Fine-tuned LLM (Llama3.1-8B) 2026.04		54	44	48	-
Agentic Workflow 2026.04		54	75	63	-
Presidio 2026.04		51	68	58	-
Llama3.1-8B prompting 2026.04		50	33	40	-
Llama3.1-8B prompting 2026.04		50	11	18	-
Fine-tuned LLM (Llama3.1-8B) 2026.04		48	61	54	-
Llama3.1-8B prompting 2026.04		41	83	55	81
Llama3.1-8B prompting 2026.04		40	58	47	-
Presidio 2026.04		38	93	54	78
Gemma-27B prompting(few shot) 2026.04		34	89	49	-
Presidio 2026.04		8	39	14	-
Llama3.1-8B prompting 2026.04		0	0	0	-