SU-OpenTag

Reported on 2 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical1 result

Information ExtractiononWDC-PAVE
F1-Score· 2024-03-04
60.44
best: 90.54 (GPT-4_10_example_values_&_10_demonstrations)
Using LLMs for the Extraction and Normalization of Product Attribute Values arXiv:2403.02130

Natural Language Processing1 result

Attribute Value ExtractiononWDC-PAVE
F1-Score· 2024-03-04
60.44
best: 90.54 (GPT-4_10_example_values_&_10_demonstrations)
Using LLMs for the Extraction and Normalization of Product Attribute Values arXiv:2403.02130