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...

Naixin 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...

Zichen 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