most citedLAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training

8 citations · 8 across the 5 of their papers we have counts for

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cs.LG2026

Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning

Trinh Pham, Viet Huynh, Hongzhi Yin +2

The rapid advancement of machine learning has led to an unprecedented expansion of model ecosystems, making it increasingly difficult to assess the reliability of newly released mo…