Matthias Aßenmacher

Orcid: 0000-0003-2154-5774

According to our database1, Matthias Aßenmacher authored at least 44 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan.
CoRR, May, 2026

The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices.
CoRR, March, 2026

promptolution: A Unified, Modular Framework for Prompt Optimization.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Can Calibration of Positional Encodings Enhance Long Context Utilization?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Min-k Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Reinforcement Learning for Latent-Space Thinking in LLMs.
CoRR, December, 2025

Fair Play in the Newsroom: Actor-Based Filtering Gender Discrimination in Text Corpora.
CoRR, August, 2025

Unveiling Factors for Enhanced POS Tagging: A Study of Low-Resource Medieval Romance Languages.
CoRR, June, 2025

No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success.
CoRR, June, 2025

OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates Discovery.
CoRR, May, 2025

Modern Models, Medieval Texts: A POS Tagging Study of Old Occitan.
CoRR, March, 2025

Revisiting Active Learning under (Human) Label Variation.
Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP, 2025

AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers.
Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2025

Statistical Multicriteria Evaluation of LLM-Generated Text.
Proceedings of the 18th International Natural Language Generation Conference, 2025

Are all Genders Equal in the Eyes of Algorithms? Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness.
Proceedings of the 17th International Joint Conference on Knowledge Discovery, 2025

A Geoparsing Pipeline for Multilingual Social Media Posts from Ukraine.
Proceedings of The GeoExT 2025: Geographic Information Extraction from Texts Workshop co-located with The 47th European Conference on Information Retrieval (ECIR), 2025

GUARD: Glocal Uncertainty-Aware Robust Decoding for Effective and Efficient Open-Ended Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

taz2024full: Analysing German Newspapers for Gender Bias and Discrimination across Decades.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework.
CoRR, 2024

From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks.
CoRR, 2024

Can OpenSource beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation.
CoRR, 2024

Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Introducing wwm-german-18k - Can LLMs Crack the Million? (Or Win at Least 500 Euros?).
Proceedings of the 7th International Conference on Natural Language and Speech Processing, 2024

Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Classifying multilingual party manifestos: Domain transfer across country, time, and genre.
CoRR, 2023

Multimodal Deep Learning.
CoRR, 2023

A tailored Handwritten-Text-Recognition System for Medieval Latin.
Proceedings of the Ancient Language Processing Workshop, 2023

How Prevalent Is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

ActiveGLAE: A Benchmark for Deep Active Learning with Transformers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

How Different is Stereotypical Bias Across Languages?
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023

Automatic Transcription of Handwritten Old Occitan Language.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Pre-trained language models evaluating themselves - A comparative study.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
Comparability, evaluation and benchmarking of large pre-trained language models.
PhD thesis, 2021

Benchmarking down-scaled (not so large) pre-trained language models.
CoRR, 2021

Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach.
CoRR, 2021

Re-Evaluating GermEval17 Using German Pre-Trained Language Models.
Proceedings of the Swiss Text Analytics Conference 2021, Winterthur, 2021

A New Benchmark for NLP in Social Sciences: Evaluating the Usefulness of Pre-trained Language Models for Classifying Open-ended Survey Responses.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Pre-trained language models as knowledge bases for Automotive Complaint Analysis.
CoRR, 2020

On the Comparability of Pre-trained Language Models.
Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020

Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News.
Proceedings of the 28th International Conference on Computational Linguistics, 2020


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