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Reverse Engineering Configurations of Neural Text Generation Models

Reverse Engineering Configurations of Neural Text Generation Models

13 April 2020
Yi Tay
Dara Bahri
Che Zheng
Clifford Brunk
Donald Metzler
Andrew Tomkins
    DeLMO
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Papers citing "Reverse Engineering Configurations of Neural Text Generation Models"

3 / 3 papers shown
Title
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
Defending Against Neural Fake News
Defending Against Neural Fake News
Rowan Zellers
Ari Holtzman
Hannah Rashkin
Yonatan Bisk
Ali Farhadi
Franziska Roesner
Yejin Choi
AAML
96
1,012
0
29 May 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
133
3,707
0
09 Jan 2019
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