Papers tagged with: #irt

8.0
psychometric_modeling

Laplace-PSN-IRT: Uncertainty Quantification for Neural Item Response Theory Models of LLM Benchmarks

Juan Francisco, Mandujano Reyes · arXiv (2026) · doi:10.48550/arxiv.2607.25257 · gemini-3.1-flash-lite

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7.5
psychometric_modeling

Latent Impact and Differential Item Functioning Analysis for Asymmetric IRT Models

Gabriel Wallin, Qi Huang · arXiv (2026) · doi:10.48550/arxiv.2605.05684 · gemini-3.1-flash-lite

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7.5
psychometric_modeling

Every Wrong Answer Counts: Option-Level Psychometrics for LLM Multiple-Choice Benchmarks

Xiao Fei, Yang Zhang, Sarah Almeida Carneiro, Michalis Vazirgiannis · arXiv (2026) · doi:10.48550/arxiv.2608.02966 · gemini-3.1-flash-lite

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7.5
psychometric_modeling

An Interpretable and Scalable Framework for Evaluating Large Language Models

Xinhao Qu, Qiang Heng, Hao Zeng, Xiaoqian Liu · arXiv (2026) · doi:10.48550/arxiv.2605.07046 · gemini-3.7-flash

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7.8
psychometric_modeling

Detection of two-way outliers in multivariate data and application to cheating detection in educational tests

Yunxiao Chen, Yan Lu, Irini Moustaki · The Annals of Applied Statistics (2022) · doi:10.1214/21-aoas1564 · gemini-3.1-flash-lite

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7.3
psychometric_modeling

What Makes Something Hard(er)? Explaining Question Difficulty in Natural Language

Peng Cui, Qiaoyuan Zheng, Rudolf Debelak, Mrinmaya Sachan · arXiv (2026) · doi:10.48550/arxiv.2610.01627 · gemini-3.1-flash-lite

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7.3
psychometric_modeling

Auditing LLM Benchmarks with Item Response Theory

Sander Land, Daniel M. Bikel · arXiv (2026) · doi:10.48550/arxiv.2605.30504 · gemini-3.6-flash

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7.2
psychometric_modeling

A regularised latent‐class item response model for detecting measurement non‐invariance in ordinal response scales

Gabriel Wallin, Qi Huang · British Journal of Mathematical and Statistical Psychology (2026) · doi:10.1111/bmsp.70076 · gemini-3.1-flash-lite

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7.2
psychometric_modeling

CalibratedRubric: Task-Adaptive Rubric Banks for Open-Ended LLM Evaluation

Mengting Chen, Yanshu Sun, Wanting Liang, Beidi Luan, Rui Sun, Dezhi Chen, Jing Li, Zuo Bai · arXiv (2026) · doi:10.48550/arxiv.2607.29252 · gemini-3.1-flash-lite

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