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cs.CV2025★ 1 cited
Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification
James Hinns, David Martens
Deep learning dominates image classification tasks, yet understanding how models arrive at predictions remains a challenge. Much research focuses on local explanations of individua…
cs.CL2025
Cash or Comfort? How LLMs Value Your Inconvenience
Mateusz Cedro, Timour Ichmoukhamedov, Sofie Goethals +3
Large Language Models (LLMs) are increasingly proposed as near-autonomous artificial intelligence (AI) agents capable of making everyday decisions on behalf of humans. Although LLM…
cs.CL2025
Exploring the generalization of LLM truth directions on conversational formats
Timour Ichmoukhamedov, David Martens
Several recent works argue that LLMs have a universal truth direction where true and false statements are linearly separable in the activation space of the model. It has been demon…