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University of Science and Technology of China
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PrefReward reveals how an explicit user preference matrix can drastically enhance personalization in text generation, outperforming traditional methods in both quality and interpretability.
HydraHead achieves a remarkable 69% performance boost in long-context tasks by smartly hybridizing attention mechanisms at the head level, challenging conventional layer-wise designs.
Efficient context handling in video tasks can elevate multimodal models to new heights of agency and reasoning capability.
PTL-Diffusion achieves superior manifold-level distributional matching by embedding phase structure directly into the diffusion process, outperforming traditional models.
