activity
20212026
most citedPoTeC: A German Naturalistic Eye-tracking-while-reading Corpus

10 citations · 12 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CL2026

Estimating Surprisal from the Speech Signal

Zachary Hopton, Samuel Kiegeland, Francesco Ignazio Re +4

Although language is predominantly spoken, empirical tests of surprisal theory rely almost entirely on written text. In practice, surprisal is estimated using language models (LMs)…

cs.CL2025

Leveraging In-Context Learning for Political Bias Testing of LLMs

Patrick Haller, Jannis Vamvas, Rico Sennrich +1

A growing body of work has been querying LLMs with political questions to evaluate their potential biases. However, this probing method has limited stability, making comparisons be…

cs.CL2024

EMTeC: A Corpus of Eye Movements on Machine-Generated Texts

Lena Sophia Bolliger, Patrick Haller, Isabelle Caroline Rose Cretton +3

The Eye Movements on Machine-Generated Texts Corpus (EMTeC) is a naturalistic eye-movements-while-reading corpus of 107 native English speakers reading machine-generated texts. The…

cs.CL2024★ 2 cited

Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences

Patrick Haller, Lena S. Bolliger, Lena A. Jäger

To date, most investigations on surprisal and entropy effects in reading have been conducted on the group level, disregarding individual differences. In this work, we revisit the p…

cs.CL2024★ 10 cited

PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus

Deborah N. Jakobi, Thomas Kern, David R. Reich +2

The Potsdam Textbook Corpus (PoTeC) is a naturalistic eye-tracking-while-reading corpus containing data from 75 participants reading 12 scientific texts. PoTeC is the first natural…

cs.CL2023

ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts

Lena S. Bolliger, David R. Reich, Patrick Haller +3

Eye movements in reading play a crucial role in psycholinguistic research studying the cognitive mechanisms underlying human language processing. More recently, the tight coupling…

cs.CL2023

Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading

Shuwen Deng, David R. Reich, Paul Prasse +3

Eye movements during reading offer insights into both the reader's cognitive processes and the characteristics of the text that is being read. Hence, the analysis of scanpaths in r…

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…

cs.CL2021

Revisiting the Uniform Information Density Hypothesis

Clara Meister, Tiago Pimentel, Patrick Haller +3

The uniform information density (UID) hypothesis posits a preference among language users for utterances structured such that information is distributed uniformly across a signal.…