Reward Optimization for Neural Machine Translation with Learned Metrics

15 April 2021

Papers citing "Reward Optimization for Neural Machine Translation with Learned Metrics"

8 / 8 papers shown

Title
Learning Evaluation Models from Large Language Models for Sequence Generation Chenglong Wang Hang Zhou Kai-Chun Chang Tongran Liu Chunliang Zhang Quan Du Tong Xiao Yue Zhang Jingbo Zhu ELM 43 3 0 08 Aug 2023
GROOT: Corrective Reward Optimization for Generative Sequential Labeling Kazuma Hashimoto K. Raman VLM 16 1 0 29 Sep 2022
Learning Compact Metrics for MT Amy Pu Hyung Won Chung Ankur P. Parikh Sebastian Gehrmann Thibault Sellam 24 98 0 12 Oct 2021
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation Weiting Tan Shuoyang Ding Huda Khayrallah Philipp Koehn SILM AAML 19 1 0 12 Oct 2021
BERT as a Teacher: Contextual Embeddings for Sequence-Level Reward Florian Schmidt Thomas Hofmann 32 8 0 05 Mar 2020
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 56 185 0 14 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 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 6,746 0 26 Sep 2016