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

29 August 2019

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? Andreas Säuberli Diego Frassinelli Barbara Plank AI4Ed 113 0 0 11 Jun 2025
Reliable and Efficient Amortized Model-based Evaluation Sang T. Truong Yuheng Tu Percy Liang Yue Liu Sanmi Koyejo ELM 130 2 0 17 Mar 2025
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 Maharshi Gor Hal Daumé III Dinesh Manocha Jordan Boyd-Graber ELM AI4MH LRM 70 4 0 09 Oct 2024
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 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 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 Han Jiang Xiaoyuan Yi Zhihua Wei Ziang Xiao Shu Wang Xing Xie ELM ALM 162 8 0 20 Jun 2024
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 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 Yoo Yeon Sung Ishani Mondal Jordan L. Boyd-Graber 77 0 0 20 Jan 2024
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 Nina Tahmasebi Haim Dubossarsky 106 6 0 13 Apr 2023
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 John P. Lalor Pedro Rodriguez 79 11 0 02 Mar 2022
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? Antonio Laverghetta Animesh Nighojkar Jamshidbek Mirzakhalov John Licato LM&MA 71 14 0 12 Jun 2021
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? 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 Ethan Perez Douwe Kiela Kyunghyun Cho 82 24 0 05 Mar 2021
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 William Gantt Benjamin Kane A. White CML 75 11 0 20 Oct 2020
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