Matthias Bethge
- Papers
- 20
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Authored papers
20A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
arXiv 2025
Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs
arXiv 2025
Understanding the Limits of Lifelong Knowledge Editing in LLMs
arXiv 2025
Solving Spatial Supersensing Without Spatial Supersensing
arXiv 2025
Are We Done with Object-Centric Learning?
arXiv 2025
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation
arXiv 2025
Great Models Think Alike and this Undermines AI Oversight
arXiv 2025
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
arXiv 2024
Centaur: a foundation model of human cognition
arXiv 2024
Efficient Lifelong Model Evaluation in an Era of Rapid Progress
arXiv 2024
ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities
arXiv 2024
A Practitioner's Guide to Continual Multimodal Pretraining
arXiv 2024
CiteME: Can Language Models Accurately Cite Scientific Claims?
arXiv 2024
Provable Compositional Generalization for Object-Centric Learning
arXiv 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models
arXiv 2023
Most discriminative stimuli for functional cell type clustering
arXiv 2023
If your data distribution shifts, use self-learning
if-your-data-distribution-shifts-use-self
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
imagenet-trained-cnns-are-biased-towards-1
Diverse feature visualizations reveal invariances in early layers of deep neural networks
diverse-feature-visualizations-reveal-1
Controlling Perceptual Factors in Neural Style Transfer
controlling-perceptual-factors-in-neural-1
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