On the Weaknesses of Reinforcement Learning for Neural Machine Translation

3 July 2019

Papers citing "On the Weaknesses of Reinforcement Learning for Neural Machine Translation"

25 / 75 papers shown

Title
Amortized Noisy Channel Neural Machine Translation Richard Yuanzhe Pang He He Kyunghyun Cho 35 5 0 16 Dec 2021
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer Evgeniia Tokarchuk Jan Rosendahl Weiyue Wang Pavel Petrushkov Tomer Lancewicki Shahram Khadivi Hermann Ney LRM 8 1 0 27 Sep 2021
Learning Natural Language Generation from Scratch Alice Martin Donati Guillaume Quispe Charles Ollion Sylvain Le Corff Florian Strub Olivier Pietquin LRM 36 4 0 20 Sep 2021
Survey of Low-Resource Machine Translation Barry Haddow Rachel Bawden Antonio Valerio Miceli Barone Jindvrich Helcl Alexandra Birch AIMat 39 150 0 01 Sep 2021
Boosting Search Engines with Interactive Agents Leonard Adolphs Benjamin Boerschinger Christian Buck Michelle Chen Huebscher Massimiliano Ciaramita ... Thomas Hofmann Yannic Kilcher Sascha Rothe Pier Giuseppe Sessa Lierni Sestorain Saralegui LLMAG 26 24 0 01 Sep 2021
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation Samuel Kiegeland Julia Kreutzer AAML 37 46 0 16 Jun 2021
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data Han Guo Bowen Tan Zhengzhong Liu Eric P. Xing Zhiting Hu OffRL 33 33 0 14 Jun 2021
Reward Optimization for Neural Machine Translation with Learned Metrics Raphael Shu Kang Min Yoo Jung-Woo Ha 35 12 0 15 Apr 2021
Machine Translation Decoding beyond Beam Search Rémi Leblond Jean-Baptiste Alayrac Laurent Sifre Miruna Pislar Jean-Baptiste Lespiau Ioannis Antonoglou Karen Simonyan Oriol Vinyals 37 69 0 12 Apr 2021
Exploring Supervised and Unsupervised Rewards in Machine Translation Julia Ive Zixu Wang M. Fomicheva Lucia Specia 19 2 0 22 Feb 2021
Enhancing the Transformer Decoder with Transition-based Syntax Leshem Choshen Omri Abend 33 1 0 29 Jan 2021
Neural Machine Translation: A Review of Methods, Resources, and Tools Zhixing Tan Shuo Wang Zonghan Yang Gang Chen Xuancheng Huang Maosong Sun Yang Liu 3DV AI4TS 25 105 0 31 Dec 2020
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning Jerry Zikun Chen S. Yu Haoran Wang 205 5 0 18 Dec 2020
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee Dong Bok Lee Sung Ju Hwang 27 106 0 14 Dec 2020
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks Julia Kreutzer Stefan Riezler Carolin (Haas) Lawrence RALM OffRL 8 15 0 04 Nov 2020
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards Rahul Aralikatte Mostafa Abdou Heather Lent Daniel Hershcovich Anders Søgaard 9 2 0 12 Oct 2020
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models Sumanta Bhattacharyya Pedram Rooshenas Subhajit Naskar Simeng Sun Mohit Iyyer Andrew McCallum 37 57 0 20 Sep 2020
Text Generation by Learning from Demonstrations Richard Yuanzhe Pang He He OffRL 37 80 0 16 Sep 2020
Neural Language Generation: Formulation, Methods, and Evaluation Cristina Garbacea Qiaozhu Mei 45 30 0 31 Jul 2020
MLE-guided parameter search for task loss minimization in neural sequence modeling Sean Welleck Kyunghyun Cho 21 10 0 04 Jun 2020
BERT as a Teacher: Contextual Embeddings for Sequence-Level Reward Florian Schmidt Thomas Hofmann 40 8 0 05 Mar 2020
Cost-Sensitive Training for Autoregressive Models Irina Saparina A. Osokin 27 0 0 08 Dec 2019
Language GANs Falling Short Massimo Caccia Lucas Caccia W. Fedus Hugo Larochelle Joelle Pineau Laurent Charlin 127 216 0 06 Nov 2018
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
Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016 Graham Neubig 24 28 0 20 Oct 2016