Papers tagged with: #assessment-validity

8.0
detector_evaluation

StyleShield: Exposing the Fragility of AIGC Detectors through Continuous Controllable Style Transfer

Guantian Zheng · arXiv (2026) · doi:10.48550/arxiv.2605.00924 · gemini-3.1-flash-lite

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7.7
theoretical

Correct codes for the wrong reasons? validating LLMs as measurement instruments for theoretical constructs

Manuel Pita · arXiv (2026) · doi:10.48550/arxiv.2606.28574 · 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

Evaluating LLM-as-a-Judge Beyond Score Alignment: A Psychometric Analysis of Residual Judging Difficulty

Longwei Cong, Sonja Hahn, Sebastian Gombert, Leon Camus, Fabian Zehner, Hendrik Drachsler, Ulf Kroehne · arXiv (2026) · doi:10.48550/arxiv.2610.02877 · gemini-3.1-flash-lite

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7.5
psychometric_modeling

Are Near-Tied LLM Rankings Robust to Family-DIF-Guided Benchmark Recomposition?

Qiaoyuan Zheng, Yiqu Yang · arXiv (2026) · doi:10.48550/arxiv.2609.00482 · gemini-3.1-flash-lite

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7.4
psychometric_modeling

What exam scores can and cannot prove about unauthorized AI assistance: Evidence from a highly public classroom episode

Chad M. Topaz, Utsav Bahl · arXiv (2026) · doi:10.48550/arxiv.2607.27978 · gemini-3.1-flash-lite

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7.3
psychometric_modeling

Representational Control over Self-Report & Behavior Coherence in LLM Risk-Taking

Rafal Kocielnik, Peiyang Song, Pengrui Han, Myrl G. Marmarelis, Ramit Debnath, Dean Mobbs, R. Michael Alvarez · arXiv (2026) · doi:10.48550/arxiv.2610.04125 · gemini-3.1-flash-lite

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7.3
psychometric_modeling

Identifying Causes of Test Unfairness: Manipulability and Separability

Youmi Suk, Weicong Lyu · arXiv (2026) · doi:10.48550/arxiv.2601.13449 · 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
detector_evaluation

Why AI Detection Fails for Academic Integrity

Jonathan A. Karr, Grigorii Khvatskii, Ting Hua, Nitesh V. Chawla · arXiv (2026) · doi:10.48550/arxiv.2608.11256 · gemini-3.1-flash-lite

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7.2
assessment_design

Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise

Keno Harada, Lui Yoshida, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo · Conference on Computational Natural Language Learning (2026) · doi:10.18653/v1/2026.conll-main.47 · gemini-3.6-flash

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7.2
psychometric_modeling

Reducing Differential Item Functioning via Process Data

Ling Chen, Susu Zhang, Jingchen Liu · arXiv (2025) · doi:10.48550/arxiv.2504.00136 · gemini-3.1-flash-lite

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