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TuringAdvice: A Generative and Dynamic Evaluation of Language Use

TuringAdvice: A Generative and Dynamic Evaluation of Language Use

7 April 2020
Rowan Zellers
Ari Holtzman
Elizabeth Clark
Lianhui Qin
Ali Farhadi
Yejin Choi
    ELM
    LRM
ArXivPDFHTML

Papers citing "TuringAdvice: A Generative and Dynamic Evaluation of Language Use"

7 / 7 papers shown
Title
Towards Human-Centred Explainability Benchmarks For Text Classification
Towards Human-Centred Explainability Benchmarks For Text Classification
Viktor Schlegel
Erick Mendez Guzman
R. Batista-Navarro
20
5
0
10 Nov 2022
AI and the Everything in the Whole Wide World Benchmark
AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji
Emily M. Bender
Amandalynne Paullada
Emily L. Denton
A. Hanna
30
291
0
26 Nov 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding?
What Will it Take to Fix Benchmarking in Natural Language Understanding?
Samuel R. Bowman
George E. Dahl
ELM
ALM
30
156
0
05 Apr 2021
Evaluation of Text Generation: A Survey
Evaluation of Text Generation: A Survey
Asli Celikyilmaz
Elizabeth Clark
Jianfeng Gao
ELM
LM&MA
19
376
0
26 Jun 2020
Experience Grounds Language
Experience Grounds Language
Yonatan Bisk
Ari Holtzman
Jesse Thomason
Jacob Andreas
Yoshua Bengio
...
Angeliki Lazaridou
Jonathan May
Aleksandr Nisnevich
Nicolas Pinto
Joseph P. Turian
21
351
0
21 Apr 2020
Machine learning as a model for cultural learning: Teaching an algorithm
  what it means to be fat
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat
Alina Arseniev-Koehler
J. Foster
43
46
0
24 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,984
0
20 Apr 2018
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