activity
20242026
collaborators

10 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

Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models

Yu Wang, Leyi Lao, Langchu Huang +3

Backchannels and fillers are important linguistic expressions in dialogue, but often treated as 'noise' to be bypassed in modern transformer-based language models (LMs). Here, we s…

cs.CL2026

Identifying the Periodicity of Information in Natural Language

Yulin Ou, Yu Wang, Yang Xu +1

Recent theoretical advancement of information density in natural language has brought the following question on desk: To what degree does natural language exhibit periodicity patte…

cs.CL2026

Predicting States of Understanding in Explanatory Interactions Using Cognitive Load-Related Linguistic Cues

Yu Wang, Olcay Türk, Angela Grimminger +1

We investigate how verbal and nonverbal linguistic features, exhibited by speakers and listeners in dialogue, can contribute to predicting the listener's state of understanding in…

cs.CL2025

Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)

Francesca Padovani, Bastian Bunzeck, Manar Ali +4

We investigate whether pre-training exclusively on dialogue data results in formally and functionally apt small language models. Based on this pre-trained llamalogue model, we empl…

cs.AI2025

Forms of Understanding for XAI-Explanations

Hendrik Buschmeier, Heike M. Buhl, Friederike Kern +17

Explainability has become an important topic in computer science and artificial intelligence, leading to a subfield called Explainable Artificial Intelligence (XAI). The goal of pr…