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Mirostat: A Neural Text Decoding Algorithm that Directly Controls
  Perplexity

Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity

29 July 2020
Sourya Basu
Govardana Sachithanandam Ramachandran
N. Keskar
Lav Varshney
    AAML
ArXivPDFHTML

Papers citing "Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity"

4 / 4 papers shown
Title
Plug and Play Language Models: A Simple Approach to Controlled Text
  Generation
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri
Andrea Madotto
Janice Lan
Jane Hung
Eric Frank
Piero Molino
J. Yosinski
Rosanne Liu
KELM
98
957
0
04 Dec 2019
Automatic Detection of Generated Text is Easiest when Humans are Fooled
Automatic Detection of Generated Text is Easiest when Humans are Fooled
Daphne Ippolito
Daniel Duckworth
Chris Callison-Burch
Douglas Eck
DeLMO
53
352
0
02 Nov 2019
Unifying Human and Statistical Evaluation for Natural Language
  Generation
Unifying Human and Statistical Evaluation for Natural Language Generation
Tatsunori B. Hashimoto
Hugh Zhang
Percy Liang
49
223
0
04 Apr 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
138
3,714
0
09 Jan 2019
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