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DiVERT: Distractor Generation with Variational Errors Represented as
  Text for Math Multiple-choice Questions

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions

27 June 2024
Nigel Fernandez
Alexander Scarlatos
Simon Woodhead
Andrew Lan
    AAML
ArXivPDFHTML

Papers citing "DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions"

10 / 10 papers shown
Title
Automated Knowledge Component Generation and Knowledge Tracing for Coding Problems
Automated Knowledge Component Generation and Knowledge Tracing for Coding Problems
Zhangqi Duan
Nigel Fernandez
Sri Kanakadandi
Mohammad Hassany
Rafaella Sampaio de Alencar
Peter Brusilovsky
Bita Akram
Andrew Lan
117
0
0
25 Feb 2025
An Automatic Question Usability Evaluation Toolkit
An Automatic Question Usability Evaluation Toolkit
Steven Moore
Eamon Costello
H. A. Nguyen
John C. Stamper
ELM
60
12
0
30 May 2024
Improving Automated Distractor Generation for Math Multiple-choice
  Questions with Overgenerate-and-rank
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank
Alexander Scarlatos
Wanyong Feng
Digory Smith
Simon Woodhead
Andrew Lan
AI4Ed
40
4
0
19 Apr 2024
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores
Chantal Shaib
Joe Barrow
Jiuding Sun
Alexa F. Siu
Byron C. Wallace
A. Nenkova
110
37
0
01 Mar 2024
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases
Xin Liu
Muhammad Khalifa
Lu Wang
70
20
0
19 May 2023
Is Reinforcement Learning (Not) for Natural Language Processing:
  Benchmarks, Baselines, and Building Blocks for Natural Language Policy
  Optimization
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Rajkumar Ramamurthy
Prithviraj Ammanabrolu
Kianté Brantley
Jack Hessel
R. Sifa
Christian Bauckhage
Hannaneh Hajishirzi
Yejin Choi
OffRL
82
246
0
03 Oct 2022
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for
  Language Modeling
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
Haoqin Tu
Zhongliang Yang
Jinshuai Yang
Yong Huang
38
12
0
12 May 2022
Results and Insights from Diagnostic Questions: The NeurIPS 2020
  Education Challenge
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge
Zichao Wang
A. Lamb
Evgeny S. Saveliev
Pashmina Cameron
Yordan Zaykov
...
Richard G. Baraniuk
Craig Barton
Simon L. Peyton Jones
Simon Woodhead
Cheng Zhang
AI4Ed
61
22
0
08 Apr 2021
MPNet: Masked and Permuted Pre-training for Language Understanding
MPNet: Masked and Permuted Pre-training for Language Understanding
Kaitao Song
Xu Tan
Tao Qin
Jianfeng Lu
Tie-Yan Liu
99
1,115
0
20 Apr 2020
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
281
5,360
0
03 Nov 2016
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