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Patrick Kahardipraja, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
Qianli Wang, Van Bach Nguyen, Nils Feldhus, Luis Felipe Villa-Arenas, Christin Seifert, Sebastian Möller, Vera Schmitt
Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals
Qianli Wang, Mingyang Wang, Nils Feldhus, Simon Ostermann, Yuan Cao, Hinrich Schütze, Sebastian Möller, Vera Schmitt
Through a Compressed Lens: Investigating the Impact of Quantization on LLM Explainability and Interpretability
Mathis Jürgen Adler, Leonard Hackel, Gencer Sumbul, Begüm Demir
Redundancy-Aware Pretraining of Vision-Language Foundation Models in Remote Sensing
Dimitrios Giouroukis, Varun Pandey, Steffen Zeuch, Volker Markl, BIFOLD
Chameleon: Adaptive and Scalable Stream Processing Over Sensor Networks
Lorenz Vaitl, Leon Klein
Path Gradients after Flow Matching
Kajetan Maliszewski
Privacy-preserving joins in untrusted environments
Philip Naumann, Jacob Kauffmann, Grégoire Montavon
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena
Guillaume Dalle, Adrian Hill
A Common Interface for Automatic Differentiation
Ibai Irastorza-Azcarate, Alexander Kukalev, Rieke Kempfer, Christoph J Thieme, Guido Mastrobuoni, Julia Markowski, Gesa Loof, Thomas M Sparks, Emily Brookes, Kedar Nath Natarajan et al.