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cs.SE2026
Pre-Training on Software Engineering Texts: Effects on Domain Adaptation and General-Language Understanding
Fabian C. Peña, Steffen Herbold
Generalist and code-focused Language Models (LMs) are increasingly applied to software engineering (SE), yet whether they are optimized for understanding SE textual artifacts (e.g.…
cs.SE2026
Large Language Models Have Unreliable Understanding of Software Engineering Terminology
Huzaifa Ejaz, Fabian C. Peña, Steffen Herbold
Large Language Models (LLMs) are increasingly used in software engineering (SE), yet there is no systematic study that determines to which degree these LLMs actually understand sta…
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…