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Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds

Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds

John P. Lalor
Hao Wu
Hong-ye Yu
ArXiv (abs)PDFHTML

Papers citing "Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds"

23 / 23 papers shown
Title
Do LLMs Give Psychometrically Plausible Responses in Educational Assessments?
Do LLMs Give Psychometrically Plausible Responses in Educational Assessments?
Andreas Säuberli
Diego Frassinelli
Barbara Plank
AI4Ed
98
0
0
11 Jun 2025
Reliable and Efficient Amortized Model-based Evaluation
Reliable and Efficient Amortized Model-based Evaluation
Sang T. Truong
Yuheng Tu
Percy Liang
Yue Liu
Sanmi Koyejo
ELM
118
2
0
17 Mar 2025
QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
Bang Nguyen
Tingting Du
Mengxia Yu
Lawrence Angrave
Meng Jiang
AI4Ed
111
0
0
07 Mar 2025
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
Maharshi Gor
Hal Daumé III
Dinesh Manocha
Jordan Boyd-Graber
ELMAI4MHLRM
70
4
0
09 Oct 2024
A Psychology-based Unified Dynamic Framework for Curriculum Learning
A Psychology-based Unified Dynamic Framework for Curriculum Learning
Guangyu Meng
Qingkai Zeng
John P. Lalor
Hong-ye Yu
76
0
0
09 Aug 2024
Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models
Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models
Joy He-Yueya
Wanjing Anya Ma
Kanishk Gandhi
Benjamin W. Domingue
Emma Brunskill
Noah D. Goodman
ALM
75
3
0
22 Jul 2024
Aligning Teacher with Student Preferences for Tailored Training Data Generation
Aligning Teacher with Student Preferences for Tailored Training Data Generation
Yantao Liu
Zhao Zhang
Zijun Yao
S. Cao
Lei Hou
Juanzi Li
92
2
0
27 Jun 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
162
8
0
20 Jun 2024
Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models
Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models
Andreas Säuberli
Simon Clematide
ELM
89
7
0
11 Apr 2024
PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics
PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics
Qixiang Fang
Daniel L. Oberski
Dong Nguyen
99
3
0
02 Apr 2024
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation
Yoo Yeon Sung
Ishani Mondal
Jordan L. Boyd-Graber
77
0
0
20 Jan 2024
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Qi Liu
Zhengze Gong
Zhenya Huang
Chuanren Liu
Hengshu Zhu
Zhi Li
Enhong Chen
Hui Xiong
59
1
0
14 Jul 2023
Computational modeling of semantic change
Computational modeling of semantic change
Nina Tahmasebi
Haim Dubossarsky
106
6
0
13 Apr 2023
A Spectral Approach to Item Response Theory
A Spectral Approach to Item Response Theory
Duc Nguyen
A. Zhang
33
6
0
09 Oct 2022
py-irt: A Scalable Item Response Theory Library for Python
py-irt: A Scalable Item Response Theory Library for Python
John P. Lalor
Pedro Rodriguez
79
11
0
02 Mar 2022
Better than Average: Paired Evaluation of NLP Systems
Better than Average: Paired Evaluation of NLP Systems
Maxime Peyrard
Wei Zhao
Steffen Eger
Robert West
ELM
101
26
0
20 Oct 2021
Can Transformer Language Models Predict Psychometric Properties?
Can Transformer Language Models Predict Psychometric Properties?
Antonio Laverghetta
Animesh Nighojkar
Jamshidbek Mirzakhalov
John Licato
LM&MA
71
14
0
12 Jun 2021
Comparing Test Sets with Item Response Theory
Comparing Test Sets with Item Response Theory
Clara Vania
Phu Mon Htut
William Huang
Dhara Mungra
Richard Yuanzhe Pang
Jason Phang
Haokun Liu
Kyunghyun Cho
Sam Bowman
77
43
0
01 Jun 2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
Nikita Nangia
Saku Sugawara
H. Trivedi
Alex Warstadt
Clara Vania
Sam Bowman
136
36
0
01 Jun 2021
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
Ethan Perez
Douwe Kiela
Kyunghyun Cho
82
24
0
05 Mar 2021
Dynamic Data Selection for Curriculum Learning via Ability Estimation
Dynamic Data Selection for Curriculum Learning via Ability Estimation
John P. Lalor
Hong-ye Yu
74
24
0
30 Oct 2020
Natural Language Inference with Mixed Effects
Natural Language Inference with Mixed Effects
William Gantt
Benjamin Kane
A. White
CML
75
11
0
20 Oct 2020
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
Qing Li
Siyuan Huang
Yining Hong
Song-Chun Zhu
119
29
0
03 Jul 2020

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