This work introduces Visual Rubrics-Based Reinforcement Learning, which decomposes reference responses into atomic propositions and scores generated answers along Visual Faithfulness, Reasoning Consistency, and Instruction Following, and shows rubrics as a useful reward abstraction for visual post-training.
Shu-Lin Tian, Ming-Lu Li, Yuhao Dong et al.· Proceedings of the 2026 Conf...· 1 citation
The Evaluation Agent framework is proposed, which employs human-like strategies for efficient, dynamic, multi-round evaluations, offering detailed, user-tailored analyses and is efficient, promptable, explainable, and scalable across models and tools.
Shu-Lin Tian, Zi-Qi Huang, Fan Zhang et al.· 2 citations
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