KERMIT: Generative Insertion-Based Modeling for Sequences

KERMIT: Generative Insertion-Based Modeling for Sequences

4 June 2019

Jakob Uszkoreit

Papers citing "KERMIT: Generative Insertion-Based Modeling for Sequences"

10 / 10 papers shown

Title
Why is constrained neural language generation particularly challenging? Cristina Garbacea Qiaozhu Mei 59 14 0 11 Jun 2022
InCoder: A Generative Model for Code Infilling and Synthesis Daniel Fried Armen Aghajanyan Jessy Lin Sida I. Wang Eric Wallace Freda Shi Ruiqi Zhong Wen-tau Yih Luke Zettlemoyer M. Lewis SyDa 22 625 0 12 Apr 2022
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade Jiatao Gu X. Kong 17 135 0 31 Dec 2020
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation Jungo Kasai Nikolaos Pappas Hao Peng James Cross Noah A. Smith 30 134 0 18 Jun 2020
Non-Autoregressive Machine Translation with Latent Alignments Chitwan Saharia William Chan Saurabh Saxena Mohammad Norouzi 17 157 0 16 Apr 2020
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation Noe Casas José A. R. Fonollosa Marta R. Costa-jussá 19 11 0 05 Apr 2020
Imputer: Sequence Modelling via Imputation and Dynamic Programming William Chan Chitwan Saharia Geoffrey E. Hinton Mohammad Norouzi Navdeep Jaitly BDL AI4TS 16 114 0 20 Feb 2020
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks S. Rothe Shashi Narayan Aliaksei Severyn SILM 63 433 0 29 Jul 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 216 7,924 0 17 Aug 2015