July 27, 2022, 1:11 a.m. | Jessica Huynh, Ting-Rui Chiang, Jeffrey Bigham, Maxine Eskenazi

cs.CL updates on arXiv.org arxiv.org

Dialog system developers need high-quality data to train, fine-tune and
assess their systems. They often use crowdsourcing for this since it provides
large quantities of data from many workers. However, the data may not be of
sufficiently good quality. This can be due to the way that the requester
presents a task and how they interact with the workers. This paper introduces
DialCrowd 2.0 to help requesters obtain higher quality data by, for example,
presenting tasks more clearly and facilitating …

arxiv crowdsourcing quality toolkit

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV

GN SONG MT Market Research Data Analyst 11

@ Accenture | Bengaluru, BDC7A