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The mapping of non-maximal probabilities to GMM components significantly influences the performance of S-JEPA encoders, revealing that structure matters as much as values in representation learning.
LLMs can be backdoored to "think well but answer wrong," even while generating seemingly correct reasoning traces, making attacks far harder to detect.
