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20222026
most citedError Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models

9 citations · 12 across the 8 of their papers we have counts for

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cs.CL2022

Toward Human-Like Evaluation for Natural Language Generation with Error Analysis

Qingyu Lu, Liang Ding, Liping Xie +3

The state-of-the-art language model-based automatic metrics, e.g. BARTScore, benefiting from large-scale contextualized pre-training, have been successfully used in a wide range of…

cs.CL2022★ 3 cited

Vega-MT: The JD Explore Academy Translation System for WMT22

Changtong Zan, Keqin Peng, Liang Ding +9

We describe the JD Explore Academy's submission of the WMT 2022 shared general translation task. We participated in all high-resource tracks and one medium-resource track, includin…