3 citations · 3 across the 3 of their papers we have counts for
3 papers
Probing Chemical Language Models: Effects of Pre-training and Fine-tuning
Anna Karnysheva, Dietrich Klakow, Ji-Ung Lee
Chemical language models (CLMs) are trained with linearized representations such as SMILES, yet it remains unclear which chemically meaningful substructures they encode. To foster…
Implementing Rational Choice Functions with LLMs and Measuring their Alignment with User Preferences
Anna Karnysheva, Christian Drescher, Dietrich Klakow
As large language models (LLMs) become integral to intelligent user interfaces (IUIs), their role as decision-making agents raises critical concerns about alignment. Although exten…
Automatic Generation of German Drama Texts Using Fine Tuned GPT-2 Models
Mariam Bangura, Kristina Barabashova, Anna Karnysheva +2
This study is devoted to the automatic generation of German drama texts. We suggest an approach consisting of two key steps: fine-tuning a GPT-2 model (the outline model) to genera…