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A Survey of NLP-Related Crowdsourcing HITs: what works and what does not
9 November 2021
Jessica Huynh
Jeffrey P. Bigham
M. Eskénazi
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Papers citing
"A Survey of NLP-Related Crowdsourcing HITs: what works and what does not"
8 / 8 papers shown
Title
Improving Open Language Models by Learning from Organic Interactions
Jing Xu
Da Ju
Joshua Lane
M. Komeili
Eric Michael Smith
...
Rashel Moritz
Sainbayar Sukhbaatar
Y-Lan Boureau
Jason Weston
Kurt Shuster
69
9
0
07 Jun 2023
The DialPort tools
Jessica Huynh
Shikib Mehri
Cathy Jiao
M. Eskénazi
54
0
0
18 Aug 2022
Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls
Da Ju
Jing Xu
Y-Lan Boureau
Jason Weston
AAML
88
18
0
05 Aug 2022
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
Kurt Shuster
Jing Xu
M. Komeili
Da Ju
Eric Michael Smith
...
Naman Goyal
Arthur Szlam
Y-Lan Boureau
Melanie Kambadur
Jason Weston
LM&Ro
KELM
126
243
0
05 Aug 2022
DialCrowd 2.0: A Quality-Focused Dialog System Crowdsourcing Toolkit
Jessica Huynh
Ting-Rui Chiang
Jeffrey P. Bigham
M. Eskénazi
89
5
0
25 Jul 2022
Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges
Shikib Mehri
Jinho Choi
L. F. D’Haro
Jan Deriu
M. Eskénazi
...
David Traum
Yi-Ting Yeh
Zhou Yu
Yizhe Zhang
Chen Zhang
99
22
0
18 Mar 2022
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text
Sebastian Gehrmann
Elizabeth Clark
Thibault Sellam
ELM
AI4CE
157
193
0
14 Feb 2022
Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents
Eric Michael Smith
Orion Hsu
Rebecca Qian
Stephen Roller
Y-Lan Boureau
Jason Weston
80
70
0
12 Jan 2022
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