Author

Han-Wen Du

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Preprint Aug 2026

Aligning Human Sense: Calibrated Distributional Reward Learning for Video Generation

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

Preprint Sep 2026

Recommender System as Slow and Fast Thinkers

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

#reinforcement learning Book Jul 2026

RecRec: Latent Interests Recursive Reasoning for Sequential Recommendation

Rec is proposed, an RL-free framework that decouples reasoning from prediction, overcoming the fixed d-dimensional state bottleneck of prior methods, and points to a decoupled, multi-vector recipe that unleashes latent reasoning from the single-state bottleneck of prior methods.

Wenhao Deng, Junchen Fu, Han-Wen Du et al. · arXiv.org · 0 citations