Video generation is central to AI-powered content creation. Aligning generated videos with human preferences is a key criterion for evaluating generation quality. Despite significant progress in visual quality, three key challenges remain. First, the reliability of reward signals is constrained by the quality of human...
Nai-Xin Zhai, Weihua Cheng, De-Xu Yu et al.· 0 citations
Experiments on five real-world datasets show that \textsc{DS-Frame} consistently improves representative sequential recommendation backbones, with larger gains on challenging groups and effective accuracy--efficiency trade-offs, highlighting the potential of adaptive inference for more efficient and robust recommendati...
Zi-Chen Yuan, Xiao-Xuan Dong, Linkun Dai et al.· 0 citations
It is indicated that retrieval-stage filtering can reduce the candidate action space exposed to agents before execution, complementing downstream tool-use safeguards, and providing a conservative operating point for safety-critical deployments.
Qinfei Li, Xiaoxuan Dong, Jin Zhang et al.· 2 citations
S Severity-Aware Conformal Clinical Planning formulates interactive diagnosis as a risk-sensitive sequential decision problem and achieves more accurate diagnoses with fewer questions across multiple large language models, while improving differential-diagnosis quality and reducing high-risk errors in severe cases.
Yue Zhou, Haisu Zhou, Jin Zhang et al.· 0 citations
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