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Darren Nellis

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Preprint Aug 2026

Evaluating Large Language Model Performance on International Maritime Dangerous Goods Code Compliance

DGEval is introduced, the first benchmark for evaluating LLM knowledge of IMDG Amendment 42-24, and shows that LLMs may support compliance tasks, particularly structured DGL lookups with web search, but unreliability in operational areas and regulatory-text recall means human oversight and authoritative source verification remain necessary before deployment in any safety-critical context.

Alexander S Thomas, Hubert P. H. Shum, Darren Nellis et al. · 0 citations

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