A Survey of NLP-Related Crowdsourcing HITs: what works and what does not

9 November 2021

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