MMVistaReason open recipe trains multimodal reasoners with less data
MVR-4B averages 72.8 on 15 benchmarks, beating Qwen3.5-9B Instruct and MMFineReason-8B with about 70% fewer samples.
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MVR-4B averages 72.8 on 15 benchmarks, beating Qwen3.5-9B Instruct and MMFineReason-8B with about 70% fewer samples.
A diffusion planner drafts K parallel reasoning paths; a large autoregressive model selects one and writes the answer.
MOTIVE uses multi-view self-verification so vision-language models accept reliable answers and rethink uncertain ones.
Scaffolding Minds lifts latent multimodal reasoning by 5.6 points across nine visual benchmarks.
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