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cs.CL2026
The GRADIEND Python Package: An End-to-End System for Gradient-Based Feature Learning
Jonathan Drechsel, Steffen Herbold
We present gradiend, an open-source Python package that operationalizes the GRADIEND method for learning feature directions from factual-counterfactual MLM and CLM gradients in lan…
cs.CL2026
Understanding or Memorizing? A Case Study of German Definite Articles in Language Models
Jonathan Drechsel, Erisa Bytyqi, Steffen Herbold
Language models perform well on grammatical agreement, but it is unclear whether this reflects rule-based generalization or memorization. We study this question for German definite…
cs.CL2025
MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training
Jonathan Drechsel, Anja Reusch, Steffen Herbold
Mathematical formulas are a fundamental and widely used component in various scientific fields, serving as a universal language for expressing complex concepts and relationships. W…