DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding

DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding

8 December 2022

Jie Zhou

Yue Zhang

Papers citing "DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding"

5 / 5 papers shown

Title
Machine Translation Models are Zero-Shot Detectors of Translation Direction Michelle Wastl Jannis Vamvas Rico Sennrich VLM 15 0 0 12 Jan 2024
Rethinking embedding coupling in pre-trained language models Hyung Won Chung Thibault Févry Henry Tsai Melvin Johnson Sebastian Ruder 93 142 0 24 Oct 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 208 1,202 0 12 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,687 0 17 Aug 2015