Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation

6 December 2019

Papers citing "Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation"

10 / 10 papers shown

Title
Scaling Low-Resource MT via Synthetic Data Generation with LLMs Ona de Gibert Joseph Attieh Teemu Vahtola Mikko Aulamo Zihao Li Raúl Vázquez Tiancheng Hu Jörg Tiedemann SyDa 47 0 0 20 May 2025
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages Yuan Zhang Yile Wang Zijun Liu Shuo Wang Xiaolong Wang Peng Li Maosong Sun Yang Liu LRM 59 12 0 19 Feb 2024
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 34 17 0 08 Aug 2023
Target-Side Augmentation for Document-Level Machine Translation Guangsheng Bao Zhiyang Teng Yue Zhang 49 10 0 08 May 2023
Teacher-Student Architecture for Knowledge Learning: A Survey Chengming Hu Xuan Li Dan Liu Xi Chen Ju Wang Xue Liu 36 35 0 28 Oct 2022
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation Suvodeep Majumde Stanislas Lauly Maria Nadejde Marcello Federico Georgiana Dinu 48 13 0 19 Oct 2022
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation Xingning Dong Tian Gan Xuemeng Song Jianlong Wu Yuan Cheng Liqiang Nie 41 92 0 18 Mar 2022
ESPnet-ST IWSLT 2021 Offline Speech Translation System Hirofumi Inaguma Shun Kiyono Nelson Enrique Yalta Soplin Pengcheng Guo Jun Suzuki Kevin Duh Shinji Watanabe 3DV 45 2 0 01 Jul 2021
Selective Knowledge Distillation for Neural Machine Translation Fusheng Wang Jianhao Yan Fandong Meng Jie Zhou 24 58 0 27 May 2021
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 33 2,876 0 09 Jun 2020