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CTRL: A Conditional Transformer Language Model for Controllable
  Generation
v1v2 (latest)

CTRL: A Conditional Transformer Language Model for Controllable Generation

11 September 2019
N. Keskar
Bryan McCann
Lav Varshney
Caiming Xiong
R. Socher
    AI4CE
ArXiv (abs)PDFHTMLGithub (1885★)

Papers citing "CTRL: A Conditional Transformer Language Model for Controllable Generation"

7 / 807 papers shown
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerJournal of machine learning research (JMLR), 2019
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
1.5K
23,762
0
23 Oct 2019
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent
  Variable
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent VariableAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Siqi Bao
H. He
Fan Wang
Hua Wu
Haifeng Wang
237
284
0
17 Oct 2019
exBERT: A Visual Analysis Tool to Explore Learned Representations in
  Transformers Models
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models
Benjamin Hoover
Hendrik Strobelt
Sebastian Gehrmann
124
90
0
11 Oct 2019
Classification As Decoder: Trading Flexibility For Control In Neural
  Dialogue
Classification As Decoder: Trading Flexibility For Control In Neural Dialogue
Sam Shleifer
Manish Chablani
Namit Katariya
Anitha Kannan
X. Amatriain
126
0
0
04 Oct 2019
Improving Word Embedding Factorization for Compression Using Distilled
  Nonlinear Neural Decomposition
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition
Vasileios Lioutas
Ahmad Rashid
Krtin Kumar
Md. Akmal Haidar
Mehdi Rezagholizadeh
209
9
0
02 Oct 2019
Conditional Text Generation for Harmonious Human-Machine Interaction
Conditional Text Generation for Harmonious Human-Machine Interaction
Bin Guo
Hao Wang
Yasan Ding
Wei Wu
Shaoyang Hao
Yueqi Sun
Zhiwen Yu
176
4
0
08 Sep 2019
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental
  for Autoregressive Text Generation?
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Tianxing He
Jingzhao Zhang
Zhiming Zhou
James R. Glass
497
42
0
25 May 2019
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