Unverified50% confidenceOpinionExact time
Marvo's improvement does not come from more annotated data or a larger model, but from the design of the training signal.
1
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50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
UnverifiedThe frequency-aware training schedule adds no model parameters and does not change inference-time computation, making it a purely training-side improvement.67% similarUnverifiedMarvo's design reduces the risks of mode collapse or uncontrolled difficulty that easily arise in self-play, making training more stable and controllable.66% similarUnverifiedMarvo is a visual Agent training method that self-evolves from unlabeled images, enabling the Agent to learn to effectively invoke tools without any human supervision.64% similarUnverifiedWhich factors in the training process drive the rise of α, and how different training objectives, data distributions, and model architectures affect this slope, remain to be answered.63% similarUnverifiedMarvo's Margin Reward is defined as the difference in the Solver's performance between using tools and not using tools.63% similar
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