ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.15780
  4. Cited By
Neural Language Generation: Formulation, Methods, and Evaluation

Neural Language Generation: Formulation, Methods, and Evaluation

31 July 2020
Cristina Garbacea
Qiaozhu Mei
ArXivPDFHTML

Papers citing "Neural Language Generation: Formulation, Methods, and Evaluation"

22 / 22 papers shown
Title
An Overview on Controllable Text Generation via Variational
  Auto-Encoders
An Overview on Controllable Text Generation via Variational Auto-Encoders
Haoqin Tu
Yitong Li
BDL
24
2
0
15 Nov 2022
Innovations in Neural Data-to-text Generation: A Survey
Innovations in Neural Data-to-text Generation: A Survey
Mandar Sharma
Ajay K. Gogineni
Naren Ramakrishnan
29
10
0
25 Jul 2022
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
280
2,015
0
28 Jul 2020
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
220
188
0
03 May 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
240
4,469
0
23 Jan 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
280
1,595
0
18 Sep 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,821
0
17 Sep 2019
On Extractive and Abstractive Neural Document Summarization with
  Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian
Raymond Li
Jonathan Pilault
C. Pal
238
215
0
07 Sep 2019
The Bottom-up Evolution of Representations in the Transformer: A Study
  with Machine Translation and Language Modeling Objectives
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita
Rico Sennrich
Ivan Titov
195
181
0
03 Sep 2019
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,432
0
22 Aug 2019
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
121
215
0
06 Nov 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
196
711
0
17 Apr 2018
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
221
1,208
0
12 Jun 2017
Adversarial Evaluation of Dialogue Models
Adversarial Evaluation of Dialogue Models
Anjuli Kannan
Oriol Vinyals
AAML
ALM
133
76
0
27 Jan 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
259
1,896
0
10 Jan 2017
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
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
6,743
0
26 Sep 2016
Language as a Latent Variable: Discrete Generative Models for Sentence
  Compression
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao
Phil Blunsom
201
223
0
23 Sep 2016
Neural Semantic Encoders
Neural Semantic Encoders
Tsendsuren Munkhdalai
Hong-ye Yu
216
131
0
14 Jul 2016
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
214
1,326
0
05 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
Depth-Gated LSTM
Depth-Gated LSTM
Kaisheng Yao
Trevor Cohn
Katerina Vylomova
Kevin Duh
Chris Dyer
VLM
22
73
0
16 Aug 2015
1