Showing cs.CLShow all
3 papers · 1 filter
cs.CL2025
Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues
Leandra Fichtel, Maximilian Spliethöver, Eyke Hüllermeier +9
The ability to generate explanations that are understood by explainees is the quintessence of explainable artificial intelligence. Since understanding depends on the explainee's ba…
cs.CL2025
SNAPE-PM: Building and Utilizing Dynamic Partner Models for Adaptive Explanation Generation
Amelie S. Robrecht, Christoph R. Kowalski, Stefan Kopp
Adapting to the addressee is crucial for successful explanations, yet poses significant challenges for dialogsystems. We adopt the approach of treating explanation generation as a…
cs.CL2024
Towards an Analysis of Discourse and Interactional Pragmatic Reasoning Capabilities of Large Language Models
Amelie Robrecht, Judith Sieker, Clara Lachenmaier +2
In this work, we want to give an overview on which pragmatic abilities have been tested in LLMs so far and how these tests have been carried out. To do this, we first discuss the s…