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cs.CL2026
Assessing Readability with LLMs: The Role of Reasoning and Few-Shot Prompting
Raphaël Thieffry, Matej Martinc
Readability assessment is essential for tailoring texts to intended audiences across educational, healthcare, and information retrieval domains. However, traditional readability fo…
cs.CL2026
Navigating the digital spectrum: Assessing political bias, stability, and downstream fairness in Large Language Models
Luka Debevc, Nishan Chatterjee, Antoine Doucet +2
Large Language Models are increasingly deployed as information intermediaries, yet measuring their political behavior remains fragile because questionnaire results mix model dispos…