Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks. - Lukas Garbaciauskas; Max Ploner; Alan Akbik (ACL (Findings), 2024)

Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune? - Max Ploner; Alan Akbik (EACL (Findings), 2024)

BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models. - Jacek Wiland; Max Ploner; Alan Akbik (NAACL-HLT (Findings), 2024)

LM-PUB-QUIZ: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models. - Max Ploner; Jacek Wiland; Sebastian Pohl; Alan Akbik (CoRR, 2024)

TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks. - Lukas Garbas; Max Ploner; Alan Akbik (CoRR, 2024)

Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data. - Jonas Golde; Patrick Haller 002; Max Ploner; Fabio Barth; Nicolaas Paul Jedema; Alan Akbik (CoRR, 2024)

Familarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data. - Jonas Golde; Patrick Haller 002; Max Ploner; Fabio Barth; Nicolaas Paul Jedema; Alan Akbik (NAACL (Long Papers), 2025)

From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts. - Daniel Christoph; Max Ploner; Patrick Haller 002; Alan Akbik (CoRR, 2025)

Towards a Principled Evaluation of Knowledge Editors. - Sebastian Pohl; Max Ploner; Alan Akbik (CoRR, 2025)