AI RESEARCH
MIND: Multi-rationale INtegrated Discriminative Reasoning Framework for Multi-modal Large Models
arXiv CS.AI
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ArXi:2512.05530v2 Announce Type: replace Recently, multimodal large language models (MLLMs) have been widely applied to reasoning tasks. However, they suffer from limited multi-rationale semantic modeling, insufficient logical robustness, and susceptibility to misleading cues. Therefore, we propose a Multi-rationale INtegrated Discriminative (MIND) reasoning framework, which is designed to endow MLLMs with human-like cognitive abilities of "Understand -> Rethink -> Correct", and achieves a paradigm evolution from passive imitation-based reasoning to active discriminative reasoning.