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cs.LG2025
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
Amir Mehrpanah, Matteo Gamba, Kevin Smith +1
ReLU networks, while prevalent for visual data, have sharp transitions, sometimes relying on individual pixels for predictions, making vanilla gradient-based explanations noisy and…
cs.LG2024
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads
Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit +3
Recent years have seen a significant progress in the general-purpose problem solving abilities of large vision and language models (LVLMs), such as ChatGPT, Gemini, etc.; some of t…