activity
20222026
most citedAutomatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models

9 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Controlling Reading Ease with Gaze-Guided Text Generation

Andreas Säuberli, Darja Jepifanova, Diego Frassinelli +1

The way our eyes move while reading can tell us about the cognitive effort required to process the text. In the present study, we use this fact to generate texts with controllable…

cs.CL2025

Do LLMs Give Psychometrically Plausible Responses in Educational Assessments?

Andreas Säuberli, Diego Frassinelli, Barbara Plank

Knowing how test takers answer items in educational assessments is essential for test development, to evaluate item quality, and to improve test validity. However, this process usu…

cs.CL2024★ 9 cited

Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models

Andreas Säuberli, Simon Clematide

Reading comprehension tests are used in a variety of applications, reaching from education to assessing the comprehensibility of simplified texts. However, creating such tests manu…

cs.CL2024

Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities

Andreas Säuberli, Franz Holzknecht, Patrick Haller +4

Text simplification refers to the process of increasing the comprehensibility of texts. Automatic text simplification models are most commonly evaluated by experts or crowdworkers…

cs.CL2022

Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models

Patrick Haller, Andreas Säuberli, Sarah Elisabeth Kiener +3

Eye movements are known to reflect cognitive processes in reading, and psychological reading research has shown that eye gaze patterns differ between readers with and without dysle…