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Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria

Via ArXiv cs.AI
Tuesday, May 12, 2026 ยท 4:00AM
Summary

arXiv:2605.08354v1 Announce Type: new Abstract: Aligning multimodal generative models with human preferences demands reward signals that respect the compositional, multi-dimensional structure of human judgment. Prevailing RLHF approaches reduce this structure to scalar or pairwise labels, collapsing

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