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Training your radio map estimation model on i.i.d. data? Prepare for a rude awakening when deploying on UAVs, where trajectory-based sampling can tank performance.
Turns out you only need to tweak a few key audio tokens to jailbreak audio language models, opening the door to faster, more targeted attacks.
LLMs can now perform entity alignment with greater interpretability and efficiency thanks to a new agent-based approach that structures the reasoning process.
By incorporating language guidance into federated learning, SurgFed tackles the long-standing problem of tissue and task heterogeneity in surgical video understanding, leading to improved segmentation and depth estimation across diverse surgical settings.
A new benchmark exposes the limitations of current adversarial transferability evaluations, revealing that many reported gains may be inflated due to unfair comparisons.
