Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News. - Maike Guderlei; Matthias Aßenmacher (COLING, 2020)

On the Comparability of Pre-trained Language Models. - Matthias Aßenmacher; Christian Heumann (SwissText/KONVENS, 2020)

Pre-trained language models as knowledge bases for Automotive Complaint Analysis. - V. D. Viellieber; Matthias Aßenmacher (CoRR, 2020)

A New Benchmark for NLP in Social Sciences: Evaluating the Usefulness of Pre-trained Language Models for Classifying Open-ended Survey Responses. - Maximilian Meidinger; Matthias Aßenmacher (ICAART (2), 2021)

Re-Evaluating GermEval17 Using German Pre-Trained Language Models. - Matthias Aßenmacher; Alessandra Corvonato; Christian Heumann (SwissText, 2021)

Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach. - Patrick Schulze; Simon Wiegrebe; Paul W. Thurner; Christian Heumann; Matthias Aßenmacher; Sandra Wankmüller (CoRR, 2021)

Benchmarking down-scaled (not so large) pre-trained language models. - Matthias Aßenmacher; Patrick Schulze; Christian Heumann (CoRR, 2021)

Comparability, evaluation and benchmarking of large pre-trained language models. - Matthias Aßenmacher (2021)

Pre-trained language models evaluating themselves - A comparative study. - Philipp Koch; Matthias Aßenmacher; Christian Heumann (Insights@ACL, 2022)

On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis. - Elisabeth Lebmeier; Matthias Aßenmacher; Christian Heumann (ECML/PKDD (2), 2022)

Automatic Transcription of Handwritten Old Occitan Language. - Esteban Garces Arias; Vallari Pai; Matthias Schöffel; Christian Heumann; Matthias Aßenmacher (EMNLP, 2023)

Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. - Matthias Aßenmacher; Lukas Rauch; Jann Goschenhofer; Andreas Stephan; Bernd Bischl; Benjamin Roth 001; Bernhard Sick (IAL@PKDD/ECML, 2023)

How Different is Stereotypical Bias Across Languages? - Ibrahim Tolga Öztürk; Rostislav Nedelchev; Christian Heumann; Esteban Garces Arias; Marius Roger; Bernd Bischl; Matthias Aßenmacher (PKDD/ECML Workshops (1), 2023)

ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. - Lukas Rauch; Matthias Aßenmacher; Denis Huseljic; Moritz Wirth; Bernd Bischl; Bernhard Sick (ECML/PKDD (1), 2023)

How Prevalent Is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses. - Stefanie Urchs; Veronika Thurner; Matthias Aßenmacher; Christian Heumann; Stephanie Thiemichen (PKDD/ECML Workshops (1), 2023)

A tailored Handwritten-Text-Recognition System for Medieval Latin. - Philipp Koch; Gilary Vera Nuñez; Esteban Garces Arias; Christian Heumann; Matthias Schöffel; Alexander Häberlin; Matthias Aßenmacher (ALP@RANLP, 2023)

Multimodal Deep Learning. - Cem Akkus; Luyang Chu; Vladana Djakovic; Steffen Jauch-Walser; Philipp Koch; Giacomo Loss; Christopher Marquardt; Marco Moldovan; Nadja Sauter; Maximilian Schneider; Rickmer Schulte; Karol Urbanczyk; et al. (CoRR, 2023)

Classifying multilingual party manifestos: Domain transfer across country, time, and genre. - Matthias Aßenmacher; Nadja Sauter; Christian Heumann (CoRR, 2023)

Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation. - Esteban Garces Arias; Julian Rodemann; Meimingwei Li; Christian Heumann; Matthias Aßenmacher (EMNLP (Findings), 2024)

Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization. - Björn Deiseroth; Max Meuer; Nikolas Gritsch; Constantin Eichenberg; Patrick Schramowski; Matthias Aßenmacher; Kristian Kersting (NAACL-HLT, 2024)

Can OpenSource beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation. - Luis Mayer; Christian Heumann; Matthias Aßenmacher (CoRR, 2024)

From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks. - Andreas Stephan; Dawei Zhu; Matthias Aßenmacher; Xiaoyu Shen 001; Benjamin Roth 001 (CoRR, 2024)

AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers. - Alexander Wuttke; Matthias Aßenmacher; Christopher Klamm; Max M. Lang; Quirin Würschinger; Frauke Kreuter (CoRR, 2024)

Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework. - Esteban Garces Arias; Hannah Blocher; Julian Rodemann; Meimingwei Li; Christian Heumann; Matthias Aßenmacher (CoRR, 2024)

Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study. - Bolei Ma; Berk Yoztyurk; Anna-Carolina Haensch; Xinpeng Wang 003; Markus Herklotz; Frauke Kreuter; Barbara Plank; Matthias Aßenmacher (ACL (1), 2025)

taz2024full: Analysing German Newspapers for Gender Bias and Discrimination across Decades. - Stefanie Urchs; Veronika Thurner; Matthias Aßenmacher; Christian Heumann; Stephanie Thiemichen (ACL (Findings), 2025)

Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation. - Esteban Garces Arias; Meimingwei Li; Christian Heumann; Matthias Aßenmacher (COLING, 2025)

A Geoparsing Pipeline for Multilingual Social Media Posts from Ukraine. - Maxim Mironov; Alexander Marquard; Daniel Racek; Christian Heumann; Paul W. Thurner; Matthias Aßenmacher (GeoExT@ECIR, 2025)

Modern Models, Medieval Texts: A POS Tagging Study of Old Occitan. - Matthias Schöffel; Marinus Wiedner; Esteban Garces Arias; Paula Ruppert; Christian Heumann; Matthias Aßenmacher (CoRR, 2025)

OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates Discovery. - Chongsheng Zhang; Shuwen Wu; Yingqi Chen; Matthias Aßenmacher; Christian Heumann; Yi Men; Gaojuan Fan; João Gama 001 (CoRR, 2025)

No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success. - Lukas Rauch; Moritz Wirth; Denis Huseljic; Marek Herde; Bernhard Sick; Matthias Aßenmacher (CoRR, 2025)

Unveiling Factors for Enhanced POS Tagging: A Study of Low-Resource Medieval Romance Languages. - Matthias Schöffel; Esteban Garces Arias; Marinus Wiedner; Paula Ruppert; Meimingwei Li; Christian Heumann; Matthias Aßenmacher (CoRR, 2025)

Statistical Multicriteria Evaluation of LLM-Generated Text. - Esteban Garces Arias; Hannah Blocher; Julian Rodemann; Matthias Aßenmacher; Christoph Jansen (CoRR, 2025)

Revisiting Active Learning under (Human) Label Variation. - Cornelia Gruber; Helen Alber; Bernd Bischl; Göran Kauermann; Barbara Plank; Matthias Aßenmacher (CoRR, 2025)

Are All Genders Equal in the Eyes of Algorithms? - Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness. - Stefanie Urchs; Veronika Thurner; Matthias Aßenmacher; Ludwig Bothmann; Christian Heumann; Stephanie Thiemichen (CoRR, 2025)