Oliver Eberle

Technische Universität Berlin — Germany

Computer Science · Physical Sciences

7h-index411citations27works1.32yr avg
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Research Topics

Topic Modeling(8), Natural Language Processing Techniques(6), Explainable Artificial Intelligence (XAI)(5), Time Series Analysis and Forecasting(5), Biomedical Text Mining and Ontologies(3)

Publications27 total

Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
ArXiv.org·2025Open Access
Position: We Need An Algorithmic Understanding of Generative AI
arXiv (Cornell University)·2025Open Access
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
arXiv (Cornell University)·2025Open Access
Trick or Neat: Adversarial Ambiguity and Language Model Evaluation
arXiv (Cornell University)·2025Open Access
Trick or Neat: Adversarial Ambiguity and Language Model Evaluation
2025Open Access
Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables
Science Advances·2024· 5 citedOpen Access
A Systematic Comparison between Extractive Self-Explanations and Human Rationales in Text Classification
arXiv (Cornell University)·2024· 1 citedOpen Access
MambaLRP: Explaining Selective State Space Sequence Models
arXiv (Cornell University)·2024· 2 citedOpen Access
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
arXiv (Cornell University)·2024· 2 citedOpen Access
Explaining Text Similarity in Transformer Models
arXiv (Cornell University)·2024Open Access
Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations
arXiv (Cornell University)·2024Open Access
Explaining Text Similarity in Transformer Models
2024· 6 citedOpen Access
MambaLRP: Explaining Selective State Space Sequence Models
2024· 1 cited
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
2024· 1 cited
Rather a Nurse than a Physician -- Contrastive Explanations under Investigation
arXiv (Cornell University)·2023Open Access
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI
arXiv (Cornell University)·2023· 2 citedOpen Access
Explainability and transparency in the realm of digital humanities: toward a historian XAI
International Journal of Digital Humanities·2023· 12 citedOpen Access
Rather a Nurse than a Physician - Contrastive Explanations under Investigation
2023· 3 citedOpen Access
An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning
Datenbank-Spektrum·2022· 7 citedOpen Access
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Grégoire Montavon(12), Klaus‐Robert Müller(12), Jochen Büttner(7), Matteo Valleriani(7), Stephanie Brandl(6), Hassan El-Hajj(6), Thomas Schnake(5), Anders Søgaard(5), Jonas Lederer(2), Shinichi Nakajima(2), Kristof T. Schütt(2), Klaus-Robert Müller(2), Jonas Pilot(2), Anna Siebold(2), Noga Shlomi(2), Julius Martinetz(2), Alexandros Vasileiou(2), Ilias Chalkidis(2), Laura Cabello Piqueras(2), Farnoush Rezaei Jafari(2)