collaborators

5 papers

cs.CL2026

Reference Games as a Testbed for the Alignment of Model Uncertainty and Clarification Requests

Manar Ali, Judith Sieker, Sina Zarrieß +1

In human conversation, both interlocutors play an active role in maintaining mutual understanding. When listeners are uncertain about what speakers mean, for example, they can requ…

cs.CL2026

How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models

Judith Sieker, Sina Zarrieß

Large language models (LLMs) are increasingly studied as repositories of linguistic knowledge. In this line of work, models are commonly evaluated both as generators of language an…

cs.CL2025

LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are High

Judith Sieker, Clara Lachenmaier, Sina Zarrieß

This paper examines how LLMs handle false presuppositions and whether certain linguistic factors influence their responses to falsely presupposed content. Presuppositions subtly in…

cs.CL2025

Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models

Raha Askari, Sina Zarrieß, Özge Alacam +1

Implicit meanings are integral to human communication, making it essential for language models to be capable of identifying and interpreting them. Grice (1975) proposed a set of co…

cs.CL2025

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

Clara Lachenmaier, Judith Sieker, Sina Zarrieß

Communication among humans relies on conversational grounding, allowing interlocutors to reach mutual understanding even when they do not have perfect knowledge and must resolve di…