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University of Science and Technology of China
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Item agents that self-promote can simultaneously boost recommendation accuracy and fairness, overturning the assumption that these goals are inherently at odds.
Multimodal LLMs get a serious reasoning boost from Durian, a difficulty-aware normalization that tames the instability caused by extreme samples and noisy rewards.
Generative recommendation gets a confidence boost: UGR leverages uncertainty to stabilize training, improve performance, and unlock risk-aware applications.
