Understanding and Improving Lexical Choice in Non-Autoregressive
Translation

Understanding and Improving Lexical Choice in Non-Autoregressive Translation

29 December 2020

Liang Ding

Papers citing "Understanding and Improving Lexical Choice in Non-Autoregressive Translation"

9 / 9 papers shown

Title
Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree Xiangxiang Gao Weisheng Xie Yiwei Xiang Feng Ji 70 5 0 17 Dec 2024
What Have We Achieved on Non-autoregressive Translation? Yafu Li Huajian Zhang Jianhao Yan Yongjing Yin Yue Zhang 21 0 0 21 May 2024
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer Boan Liu Liang Ding Li Shen Keqin Peng Yu Cao Dazhao Cheng Dacheng Tao MoE 13 7 0 15 Oct 2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining Qihuang Zhong Liang Ding Juhua Liu Xuebo Liu Min Zhang Bo Du Dacheng Tao VLM 14 9 0 24 May 2023
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models Qingyu Lu Baopu Qiu Liang Ding Liping Xie Tom Kocmi Dacheng Tao LRM ALM ELM 11 102 0 24 Mar 2023
Multi-Granularity Optimization for Non-Autoregressive Translation Yafu Li Leyang Cui Yongjing Yin Yue Zhang 11 6 0 20 Oct 2022
Learning Graph Neural Networks for Image Style Transfer Yongcheng Jing Yining Mao Yiding Yang Yibing Zhan Mingli Song Xinchao Wang Dacheng Tao 18 53 0 24 Jul 2022
The USYD-JD Speech Translation System for IWSLT 2021 Liang Ding Di Wu Dacheng Tao 11 16 0 24 Jul 2021
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 205 1,202 0 12 Jun 2017