Faithful or Findable? Evaluating LLM-Generated Metadata for RDF Dataset Search
Published in SynthIR Workshop, ACM SIGIR, 2026
A study of the trade-off between retrieval effectiveness and faithfulness when large language models generate or augment RDF dataset metadata.
Recommended citation: Riccardo Terrenzi and Serkan Ayvaz. (2026). "Faithful or Findable? Evaluating LLM-Generated Metadata for RDF Dataset Search." SynthIR Workshop at ACM SIGIR 2026.
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