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Modeling Item Response Theory with Stochastic Variational Inference
v1v2 (latest)

Modeling Item Response Theory with Stochastic Variational Inference

26 August 2021
Mike Wu
R. Davis
B. Domingue
Chris Piech
Noah D. Goodman
    CML
ArXiv (abs)PDFHTML

Papers citing "Modeling Item Response Theory with Stochastic Variational Inference"

3 / 3 papers shown
Introducing Flexible Monotone Multiple Choice Item Response Theory
  Models and Bit Scales
Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scales
Joakim Wallmark
Maria Josefsson
Marie Wiberg
80
2
0
02 Oct 2024
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
Han Jiang
Xiaoyuan Yi
Zhihua Wei
Ziang Xiao
Shu Wang
Xing Xie
ELMALM
598
11
0
20 Jun 2024
Foundation Posteriors for Approximate Probabilistic Inference
Foundation Posteriors for Approximate Probabilistic InferenceNeural Information Processing Systems (NeurIPS), 2022
Mike Wu
Noah D. Goodman
UQCV
216
6
0
19 May 2022
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