1 code implementation • 24 Mar 2023 • Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi, DaCheng Tao
To further improve the performance of LLMs on MT quality assessment, we investigate several prompting designs, and propose a new prompting method called \textbf{\texttt{Error Analysis Prompting}} (EAPrompt) by combining Chain-of-Thoughts (Wei et al., 2022) and Error Analysis (Lu et al., 2023).
1 code implementation • 20 Dec 2022 • Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, DaCheng Tao
To this end, we augment BARTScore by incorporating the human-like error analysis strategies, namely BARTScore++, where the final score consists of both the evaluations of major errors and minor errors.
1 code implementation • 20 Sep 2022 • Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, DaCheng Tao
As for model sizes, we scale the Transformer-Big up to the extremely large model that owns nearly 4. 7 Billion parameters, to fully enhance the model capacity for our Vega-MT.
Ranked #1 on Machine Translation on WMT 2022 English-Russian