A hybrid agentic workflow using Presidio for structured PII and fine-tuned LLMs plus verification for names, addresses, and identifiers detects PII in crash narratives at 0.82 precision and 0.94 recall.
arXiv preprint arXiv:2406.10789 (2024)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
TrafficRAG is a multimodal RAG framework that turns accident videos into structured text queries, retrieves legal rules and cases via BM25 plus dense retrieval, and generates liability reports, reporting 77.32% legal norm accuracy and 5.48% liability ratio MAE.
citing papers explorer
-
TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination
TrafficRAG is a multimodal RAG framework that turns accident videos into structured text queries, retrieves legal rules and cases via BM25 plus dense retrieval, and generates liability reports, reporting 77.32% legal norm accuracy and 5.48% liability ratio MAE.