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Found 2 papers, 1 papers with code
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Finally, we conduct a case study on CLC when new factual associations are inserted in the PLMs via model editing.
Cross Domain Few-Shot Learning via Meta Adversarial Training
Few-shot relation classification (RC) is one of the critical problems in machine learning.
cross-domain few-shot learning
Few-Shot Relation Classification
