Max Ploner

12 papers Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Familarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data.
NAACL (Long Papers)
Jonas Golde, Patrick Haller, Max Ploner, Fabio Barth, Nicolaas Paul Jedema, Alan Akbik
2025 J jnl
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts.
CoRR
Daniel Christoph, Max Ploner, Patrick Haller, Alan Akbik
2025 — conf
LM-Pub-Quiz: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models.
NAACL (System Demonstrations)
Max Ploner, Jacek Wiland, Sebastian Pohl, Alan Akbik
2025 J jnl
Towards a Principled Evaluation of Knowledge Editors.
CoRR
Sebastian Pohl, Max Ploner, Alan Akbik
2025 — conf
TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks.
NAACL (System Demonstrations)
Lukas Garbas, Max Ploner, Alan Akbik
2024 — conf
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models.
NAACL-HLT (Findings)
Jacek Wiland, Max Ploner, Alan Akbik
2024 J jnl
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models.
CoRR
Jacek Wiland, Max Ploner, Alan Akbik
2024 — conf
Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks.
ACL (Findings)
Lukas Garbaciauskas, Max Ploner, Alan Akbik
2024 J jnl
Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data.
CoRR
Jonas Golde, Patrick Haller, Max Ploner, Fabio Barth, Nicolaas Paul Jedema, Alan Akbik
2024 J jnl
LM-PUB-QUIZ: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models.
CoRR
Max Ploner, Jacek Wiland, Sebastian Pohl, Alan Akbik
2024 — conf
Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune?
EACL (Findings)
Max Ploner, Alan Akbik
2024 J jnl
TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks.
CoRR
Lukas Garbas, Max Ploner, Alan Akbik