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Plug and Play Language Models: A Simple Approach to Controlled Text
  Generation

Plug and Play Language Models: A Simple Approach to Controlled Text Generation

4 December 2019
Sumanth Dathathri
Andrea Madotto
Janice Lan
Jane Hung
Eric Frank
Piero Molino
J. Yosinski
Rosanne Liu
    KELM
ArXivPDFHTML

Papers citing "Plug and Play Language Models: A Simple Approach to Controlled Text Generation"

24 / 174 papers shown
Title
FUDGE: Controlled Text Generation With Future Discriminators
FUDGE: Controlled Text Generation With Future Discriminators
Kevin Kaichuang Yang
Dan Klein
8
313
0
12 Apr 2021
Inference Time Style Control for Summarization
Inference Time Style Control for Summarization
Shuyang Cao
Lu Wang
AI4TS
22
15
0
05 Apr 2021
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
Daniel Buschek
Lukas Mecke
Florian Lehmann
Hai Dang
13
42
0
01 Apr 2021
Symbolic Music Generation with Diffusion Models
Symbolic Music Generation with Diffusion Models
Gautam Mittal
Jesse Engel
Curtis Hawthorne
Ian Simon
MGen
DiffM
38
189
0
30 Mar 2021
Changing the Mind of Transformers for Topically-Controllable Language
  Generation
Changing the Mind of Transformers for Topically-Controllable Language Generation
Haw-Shiuan Chang
Jiaming Yuan
Mohit Iyyer
Andrew McCallum
12
9
0
29 Mar 2021
Attribute Alignment: Controlling Text Generation from Pre-trained
  Language Models
Attribute Alignment: Controlling Text Generation from Pre-trained Language Models
Dian Yu
Zhou Yu
Kenji Sagae
13
37
0
20 Mar 2021
Large Pre-trained Language Models Contain Human-like Biases of What is
  Right and Wrong to Do
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
P. Schramowski
Cigdem Turan
Nico Andersen
Constantin Rothkopf
Kristian Kersting
25
281
0
08 Mar 2021
Towards Facilitating Empathic Conversations in Online Mental Health
  Support: A Reinforcement Learning Approach
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
Ashish Sharma
Inna Wanyin Lin
Adam S. Miner
David C. Atkins
Tim Althoff
AI4MH
17
138
0
19 Jan 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and
  Improving Models
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Tongshuang Wu
Marco Tulio Ribeiro
Jeffrey Heer
Daniel S. Weld
30
240
0
01 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
20
4,070
0
01 Jan 2021
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided
  Conditional Generation
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
Ruibo Liu
Guangxuan Xu
Chenyan Jia
Weicheng Ma
Lili Wang
Soroush Vosoughi
23
107
0
05 Dec 2020
PowerTransformer: Unsupervised Controllable Revision for Biased Language
  Correction
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction
Xinyao Ma
Maarten Sap
Hannah Rashkin
Yejin Choi
27
73
0
26 Oct 2020
Text Editing by Command
Text Editing by Command
Felix Faltings
Michel Galley
Gerold Hintz
Chris Brockett
Chris Quirk
Jianfeng Gao
Bill Dolan
KELM
136
36
0
24 Oct 2020
Text Style Transfer: A Review and Experimental Evaluation
Text Style Transfer: A Review and Experimental Evaluation
Zhiqiang Hu
Roy Ka-Wei Lee
Charu C. Aggarwal
Aston Zhang
AI4TS
42
26
0
24 Oct 2020
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Kalpesh Krishna
John Wieting
Mohit Iyyer
16
237
0
12 Oct 2020
Plug and Play Autoencoders for Conditional Text Generation
Plug and Play Autoencoders for Conditional Text Generation
Florian Mai
Nikolaos Pappas
Ivan Montero
Noah A. Smith
U. Washington
14
36
0
06 Oct 2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial
  Text Generation
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
Tianlu Wang
Xuezhi Wang
Yao Qin
Ben Packer
Kang Li
Jilin Chen
Alex Beutel
Ed H. Chi
SILM
25
82
0
05 Oct 2020
Identifying Automatically Generated Headlines using Transformers
Identifying Automatically Generated Headlines using Transformers
Antonis Maronikolakis
Hinrich Schütze
Mark Stevenson
17
3
0
28 Sep 2020
GeDi: Generative Discriminator Guided Sequence Generation
GeDi: Generative Discriminator Guided Sequence Generation
Ben Krause
Akhilesh Deepak Gotmare
Bryan McCann
N. Keskar
Shafiq R. Joty
R. Socher
Nazneen Rajani
46
389
0
14 Sep 2020
Technical Report: Auxiliary Tuning and its Application to Conditional
  Text Generation
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation
Yoel Zeldes
Dan Padnos
Or Sharir
Barak Peleg
23
19
0
30 Jun 2020
Aspect-Controlled Neural Argument Generation
Aspect-Controlled Neural Argument Generation
Benjamin Schiller
Johannes Daxenberger
Iryna Gurevych
19
73
0
30 Apr 2020
Exploring Versatile Generative Language Model Via Parameter-Efficient
  Transfer Learning
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
Zhaojiang Lin
Andrea Madotto
Pascale Fung
26
155
0
08 Apr 2020
Mining Disinformation and Fake News: Concepts, Methods, and Recent
  Advancements
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
Kai Shu
Suhang Wang
Dongwon Lee
Huan Liu
6
77
0
02 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
275
1,587
0
18 Sep 2019
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