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1908.11421
Cited By
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
29 August 2019
John P. Lalor
Hao Wu
Hong-ye Yu
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Papers citing
"Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds"
27 / 27 papers shown
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JE-IRT: A Geometric Lens on LLM Abilities through Joint Embedding Item Response Theory
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Fluid Language Model Benchmarking
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David Heineman
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Chun Wang
Hannaneh Hajishirzi
Noah A. Smith
165
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14 Sep 2025
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
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Nigel Fernandez
Christopher M. Ormerod
Susan Lottridge
Andrew Lan
310
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07 Jul 2025
Do LLMs Give Psychometrically Plausible Responses in Educational Assessments?
Workshop on Innovative Use of NLP for Building Educational Applications (UNBEA), 2025
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Diego Frassinelli
Barbara Plank
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345
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11 Jun 2025
Reliable and Efficient Amortized Model-based Evaluation
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Yuheng Tu
Abigail Z. Jacobs
Yue Liu
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418
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17 Mar 2025
QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Bang Nguyen
Tingting Du
Mengxia Yu
Lawrence Angrave
Meng Jiang
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359
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07 Mar 2025
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Maharshi Gor
Hal Daumé III
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Jordan Boyd-Graber
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324
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0
09 Oct 2024
A Psychology-based Unified Dynamic Framework for Curriculum Learning
Computational Linguistics (CL), 2024
Guangyu Meng
Qingkai Zeng
John P. Lalor
Hong-ye Yu
279
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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
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22 Jul 2024
Aligning Teacher with Student Preferences for Tailored Training Data Generation
Yantao Liu
Zhao Zhang
Zijun Yao
S. Cao
Lei Hou
Juanzi Li
231
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0
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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
ELM
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18
0
20 Jun 2024
Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models
Andreas Säuberli
Simon Clematide
ELM
400
14
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
Qixiang Fang
Daniel L. Oberski
Dong Nguyen
516
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0
02 Apr 2024
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
290
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20 Jan 2024
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Science China Information Sciences (Sci China Inf Sci), 2023
Qi Liu
Zhengze Gong
Zhenya Huang
Chuanren Liu
Hengshu Zhu
Zhi Li
Enhong Chen
Hui Xiong
184
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0
14 Jul 2023
Computational modeling of semantic change
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Nina Tahmasebi
Haim Dubossarsky
361
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13 Apr 2023
A Spectral Approach to Item Response Theory
Neural Information Processing Systems (NeurIPS), 2022
Duc Nguyen
A. Zhang
230
6
0
09 Oct 2022
py-irt: A Scalable Item Response Theory Library for Python
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John P. Lalor
Pedro Rodriguez
383
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0
02 Mar 2022
Better than Average: Paired Evaluation of NLP Systems
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Maxime Peyrard
Wei Zhao
Steffen Eger
Robert West
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375
34
0
20 Oct 2021
Can Transformer Language Models Predict Psychometric Properties?
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Animesh Nighojkar
Jamshidbek Mirzakhalov
John Licato
LM&MA
245
15
0
12 Jun 2021
Comparing Test Sets with Item Response Theory
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Clara Vania
Phu Mon Htut
William Huang
Dhara Mungra
Richard Yuanzhe Pang
Jason Phang
Haokun Liu
Kyunghyun Cho
Sam Bowman
242
53
0
01 Jun 2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Nikita Nangia
Saku Sugawara
H. Trivedi
Alex Warstadt
Clara Vania
Sam Bowman
325
37
0
01 Jun 2021
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
International Conference on Machine Learning (ICML), 2021
Ethan Perez
Douwe Kiela
Dong Wang
272
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0
05 Mar 2021
Dynamic Data Selection for Curriculum Learning via Ability Estimation
Findings (Findings), 2020
John P. Lalor
Hong-ye Yu
263
27
0
30 Oct 2020
Natural Language Inference with Mixed Effects
William Gantt
Benjamin Kane
A. White
CML
279
11
0
20 Oct 2020
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
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Siyuan Huang
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373
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