A RAG system over U.S. transportation cybersecurity statutes scores higher than vanilla chatbots on the authors' 59-question benchmark, but the benchmark gives the RAG system the source documents and withholds them from the baselines.
This limitation is 29 significant, as inaccurate outputs can misidentify legislative gaps and complicate the work of legal 30 and policy stakeholders
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps
A RAG system over U.S. transportation cybersecurity statutes scores higher than vanilla chatbots on the authors' 59-question benchmark, but the benchmark gives the RAG system the source documents and withholds them from the baselines.