Florian Eichin, Yupei Du, Philipp Mondorf, Barbara Plank, and Michael A. Hedderich. 2025. Grokking ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior. arXiv:2505.20076.
We introduce ExPLAIND — an interpretability framework for jointly attributing model components, data, and training dynamics and apply it to investigate Grokking.
Michael A. Hedderich, Anyi Wang, Raoyuan Zhao, Florian Eichin, and Barbara Plank. 2025. What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns. ACL 2025 Main.
We propose a method for evaluating the influence of prompts on the LLM outputs through token patterns.
Florian Eichin, Yang Janet Liu, Barbara Plank, Michael A. Hedderich. 2025. Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set. ACL 2025 Main.
We probe an extensive set of SOTA large language models for multilingual discourse relation information unifying framework-specific label sets.
Florian Eichin, Carolin M. Schuster, Georg Groh, and Michael A. Hedderich. 2024. Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics. arXiv:2410.21054.
We introduce multi-topic distributions to the clustering-based topic modeling pipeline and reduce the number of samples assigned to noise to zero.