9 citations · 14 across the 4 of their papers we have counts for
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cs.CL2023★ 9 cited
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
Qingyu Lu, Baopu Qiu, Liang Ding +3
Generative large language models (LLMs), e.g., ChatGPT, have demonstrated remarkable proficiency across several NLP tasks, such as machine translation, text summarization. Recent r…
cs.CL2022★ 2 cited
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation
Baopu Qiu, Liang Ding, Di Wu +3
Machine Translation Quality Estimation (QE) is the task of evaluating translation output in the absence of human-written references. Due to the scarcity of human-labeled QE data, p…
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…