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Multimodal LLMs get a serious reasoning boost from Durian, a difficulty-aware normalization that tames the instability caused by extreme samples and noisy rewards.
LLMs and LVLMs share more than half their top-activated neurons during multi-step inference, opening a surprisingly cheap path to boost vision-language reasoning by transplanting skills from text-only models.
