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LLMs can now retrieve memories like humans, using a fast familiarity check or a deliberate recollection process, leading to better personalization without overwhelming the model with irrelevant context.
Forget independent feature extraction: a new architecture uses LVLMs to explicitly model the relationships between drone and satellite imagery, substantially boosting geolocalization accuracy.
By disentangling state representation from policy optimization, DSRM-HRL breaks the accuracy-fairness tradeoff in recommender systems, achieving state-of-the-art fairness without sacrificing utility.
Existing safety guardrails for text-to-image models can backfire, inadvertently amplifying other types of harm, but this new method adaptively steers generation to resolve these conflicts and reduce overall harmful content.
