most citedLLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition

12 citations · 22 across the 3 of their papers we have counts for

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cs.CL2024★ 2 cited

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution

Nuo Xu, Jun Zhao, Can Zu +9

Faithfulness, expressiveness, and elegance is the constant pursuit in machine translation. However, traditional metrics like \textit{BLEU} do not strictly align with human preferen…

cs.CL2024★ 12 cited

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition

Junjie Ye, Nuo Xu, Yikun Wang +4

Despite the impressive capabilities of large language models (LLMs), their performance on information extraction tasks is still not entirely satisfactory. However, their remarkable…