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LLMs can extract critical information from OOXML files that is invisible in Microsoft Office, revealing a hidden layer of semantic divergence that could compromise decision-making in financial and compliance contexts.
Task-aware neuron steering in VLMs is now possible without gradients, unlocking better performance and interpretability across diverse multimodal tasks.
