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Modeling and mitigating human annotation errors to design efficient
  stream processing systems with human-in-the-loop machine learning

Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning

7 July 2020
Rahul Pandey
Hemant Purohit
Carlos Castillo
V. Shalin
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Papers citing "Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning"

4 / 4 papers shown
Title
Towards Understanding Sycophancy in Language Models
Towards Understanding Sycophancy in Language Models
Mrinank Sharma
Meg Tong
Tomasz Korbak
David Duvenaud
Amanda Askell
...
Oliver Rausch
Nicholas Schiefer
Da Yan
Miranda Zhang
Ethan Perez
297
234
0
20 Oct 2023
Quantifying the Impact of Cognitive Biases in Question-Answering Systems
Quantifying the Impact of Cognitive Biases in Question-Answering Systems
Keith Burghardt
Tad Hogg
Kristina Lerman
20
15
0
20 Sep 2019
Modeling Human Annotation Errors to Design Bias-Aware Systems for Social
  Stream Processing
Modeling Human Annotation Errors to Design Bias-Aware Systems for Social Stream Processing
Rahul Pandey
Carlos Castillo
Hemant Purohit
29
13
0
16 Jul 2019
Engineering Crowdsourced Stream Processing Systems
Engineering Crowdsourced Stream Processing Systems
Muhammad Imran
Ioanna Lykourentzou
Yannick Naudet
Carlos Castillo
26
28
0
21 Oct 2013
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