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20242026
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cs.CL2026

Resource-Lean Lexicon Induction for German Dialects

Robert Litschko, Barbara Plank, Diego Frassinelli

Automatic induction of high-quality dictionaries is essential for building lexical resources, yet low-resource languages and dialects pose several challenges: limited access to ann…

cs.CL2026

I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in Memes

Shijia Zhou, Saif M. Mohammad, Barbara Plank +1

Internet memes represent a popular form of multimodal online communication and often use figurative elements to convey layered meaning through the combination of text and images. H…

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

To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity

Anastasiia Sedova, Robert Litschko, Diego Frassinelli +2

One of the major aspects contributing to the striking performance of large language models (LLMs) is the vast amount of factual knowledge accumulated during pre-training. Yet, many…