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AdaptPrint reveals hidden LLM identities with up to 92.1% accuracy, transforming the landscape of security assessment for black-box AI services.
Sub-diffusive motion and trapping of adsorbates on nanoparticles defy expectations, revealing complex dynamics that could revolutionize our approach to nanocatalysis.
Combat noisy click data in recommender systems by simply reweighting training samples based on the semantic similarity between user interest profiles and item descriptions, yielding surprisingly robust performance gains.
