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Xiaotong Zhao

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#artificial intelligence Preprint Sep 2026

RewardVerse: Rubric-Guided Policy Optimization for Video Reward Modeling

RewardVerse, a rubric-based video reward framework that introduces a dynamic rubric as an intermediate representation between the evaluation query and the scorer, mitigates scalar drift, and provides a robust and interpretable reward signal for RL in video generation.

Zhen-Chen Tang, Yang Li, Songlin Yang et al. · 1 citation
Preprint Aug 2026

WorldCycle: Self-Verifiable Reinforcement Learning for Long-Horizon Video World Models

WorldCycle is introduced, a self-verifiable RL framework that constructs closed action cycles and their repeated executions from ordinary action sequences, and optimizes two complementary rewards: a spatial closure reward enforcing symmetry between mirrored forward and reverse segments, and a temporal consistency rewar...

Bohai Gu, Yueyang Yuan, Tai-Yi Wu et al. · 2 citations

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