Towards Decoding as Continuous Optimization in Neural Machine
Translation

Towards Decoding as Continuous Optimization in Neural Machine Translation

11 January 2017

Cong Duy Vu Hoang

Gholamreza Haffari

Papers citing "Towards Decoding as Continuous Optimization in Neural Machine Translation"

11 / 11 papers shown

Title
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control Xiaochuang Han Sachin Kumar Yulia Tsvetkov 32 79 0 31 Oct 2022
Gradient-Based Constrained Sampling from Language Models Sachin Kumar Biswajit Paria Yulia Tsvetkov BDL 30 53 0 25 May 2022
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics Lianhui Qin Sean Welleck Daniel Khashabi Yejin Choi AI4CE 46 144 0 23 Feb 2022
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP Lifu Tu BDL 35 0 0 27 Aug 2021
Controlled Text Generation as Continuous Optimization with Multiple Constraints Sachin Kumar Eric Malmi Aliaksei Severyn Yulia Tsvetkov BDL AI4CE 34 76 0 04 Aug 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 15 105 0 31 Dec 2020
Synchronous Bidirectional Neural Machine Translation Long Zhou Jiajun Zhang Chengqing Zong 8 106 0 13 May 2019
Benchmarking Approximate Inference Methods for Neural Structured Prediction Lifu Tu Kevin Gimpel BDL 30 17 0 01 Apr 2019
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement Jason D. Lee Elman Mansimov Kyunghyun Cho DiffM BDL 28 455 0 19 Feb 2018
CharManteau: Character Embedding Models For Portmanteau Creation Varun Gangal Harsh Jhamtani Graham Neubig Eduard H. Hovy Eric Nyberg 22 13 0 04 Jul 2017
Differentiable Scheduled Sampling for Credit Assignment Kartik Goyal Chris Dyer Taylor Berg-Kirkpatrick 24 40 0 23 Apr 2017