GAS Framework Uses Generation as Auxiliary Supervision for MLLMs
August 11, 2026
The GAS framework improves visual understanding by treating visual generation as auxiliary supervision via Next Embedding Prediction. Utilizing a decoupled Mixture-of-Transformers architecture, it enhances representation learning without increasing inference overhead.
HOW THIS AFFECTS YOU
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builderYou can enhance model understanding without increasing the computational cost of inference.
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researcherYou can use generation tasks to improve representation learning without adding latency.