GAFU uses generation-side tokens for fine-grained visual understanding
Authors report relative gains of up to 20.00% on VStar-Bench versus same-data SFT baselines.
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Authors report relative gains of up to 20.00% on VStar-Bench versus same-data SFT baselines.
Vision-RL2 applies region-level reinforcement learning to MLLM perception, surpassing largest-budget accuracy with roughly four times fewer visual tokens.
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