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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
#artificial intelligence Preprint Sep 2026

An Evolutionary Agentic Approach for Open-ended Image Quality Perception

Generative models are rapidly expanding image quality assessment (IQA) beyond traditional fidelity factors to emerging dimensions such as physical plausibility and text-rendering correctness. However, existing IQA models rely on fixed definitions and heavy supervision, making them difficult to extend to open-ended perc...

Zhen-Chen Tang, Bo Peng, Zi-Chuan Wang et al. · 1 citation

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