How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?

27 May 2021

Papers citing "How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?"

5 / 5 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 82 5 0 17 Dec 2024
Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation Jingxuan Wei Linzhuang Sun Yichong Leng Xu Tan Bihui Yu Ruifeng Guo 45 3 0 23 Apr 2024
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation Suvodeep Majumde Stanislas Lauly Maria Nadejde Marcello Federico Georgiana Dinu 30 13 0 19 Oct 2022
Can Multilinguality benefit Non-autoregressive Machine Translation? Sweta Agrawal Julia Kreutzer Colin Cherry AI4CE 27 1 0 16 Dec 2021
Understanding and Improving Lexical Choice in Non-Autoregressive Translation Liang Ding Longyue Wang Xuebo Liu Derek F. Wong Dacheng Tao Zhaopeng Tu 96 77 0 29 Dec 2020