AutoRubric-R1V: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning

• URL: http://arxiv.org/abs/2510.14738v1
• Date: Thu, 16 Oct 2025 14:40:02 GMT
• Title: AutoRubric-R1V: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
• Abstract summary: AutoRubric-R1V is a framework that integrates RLVR with process-level supervision through automatically collected rubric-based generative rewards.<n>By jointly leveraging rubric-based and outcome rewards, AutoRubric-R1V achieves state-of-the-art performance on six multimodal reasoning benchmarks.
• Score: 25.984031524564188
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Multimodal large language models (MLLMs) have rapidly advanced from perception tasks to complex multi-step reasoning, yet reinforcement learning with verifiable rewards (RLVR) often leads to spurious reasoning since only the final-answer correctness is rewarded. To address this limitation, we propose AutoRubric-R1V, a framework that integrates RLVR with process-level supervision through automatically collected rubric-based generative rewards. Our key innovation lies in a scalable self-aggregation method that distills consistent reasoning checkpoints from successful trajectories, enabling problem-specific rubric construction without human annotation or stronger teacher models. By jointly leveraging rubric-based and outcome rewards, AutoRubric-R1V achieves state-of-the-art performance on six multimodal reasoning benchmarks and substantially improves reasoning faithfulness in dedicated evaluations.

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