Judith Sieker — accepted AI-conference papers

2025

Can LLMs Ground when they (Don’t) Know: A Study on Direct and Loaded Political Questions

Clara Lachenmaier, Judith Sieker, Sina Zarrieß

ACL 2025long

Communication among humans relies on conversational grounding, allowing interlocutors to reach mutual understanding even when they do not have perfect knowledge and must resolve discrepancies in each other’s beliefs. This paper investigates how large language models (LLMs) manage common ground in ca…

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2024

The Illusion of Competence: Evaluating the Effect of Explanations on Users’ Mental Models of Visual Question Answering Systems

Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier +1

EMNLP 2024main

We examine how users perceive the limitations of an AI system when it encounters a task that it cannot perform perfectly and whether providing explanations alongside its answers aids users in constructing an appropriate mental model of the system’s capabilities and limitations. We employ a visual qu…

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