Presents CRAFT dataset and KEDAS paradigm for real-time knowledge editing, claiming better balanced performance on dynamic and static benchmarks than prior methods.
InProceedings of the 21st Con- ference on Computational Natural Language Learn- ing (CoNLL 2017)
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Aligning Language Models with Real-time Knowledge Editing
Presents CRAFT dataset and KEDAS paradigm for real-time knowledge editing, claiming better balanced performance on dynamic and static benchmarks than prior methods.