psychometric_modeling
Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases
Davood Wadi, Mohsen Ghodrat, Matthew Philp · arXiv (2026) · doi:10.48550/arxiv.2608.10503 · gemini-3.1-flash-lite
Papers tagged with: #оцінювання-llm
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
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
psychometric_modeling
Scalable Text-Embedding-informed Cognitive Diagnosis of Large Language Models
Jia Liu, Zhiyu Xu, Yuqi Gu · arXiv (2026) · doi:10.48550/arxiv.2603.14676 · gemini-3.7-flash
psychometric_modeling
Which AI model is truly the best: how reliable are public benchmarks of frontier AI models?
Miloš Kankaraš · Zenodo (CERN European Organization for Nuclear Research) (2026) · doi:10.5281/zenodo.22998204 · gemini-3.7-flash