Empirical evaluation demonstrates performance of models for data extraction in environmental evidence synthesis, highlighting limitations.
We welcome Hodgson et al. (2026) empirical evaluation of ontology-grounded large language models (LLMs) for data extraction in environmental evidence synthesis. The study makes a valuable contribution by quantifying performance across attribute types and by openly documenting where current approaches struggle.
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Grainger et al. (2026) studied this question.
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