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A retention-aware review mechanism that tracks mastered prompts and periodically reintroduces them to periodically reintroduces them to the model of previous solutions, demonstrating robust generalizability across modalities and algorithms.
CompassOPD is proposed, which removes this offset and transfers the within-family shift, while a frozen student reference anchors updates to the student's initial policy, and shows that CompassOPD consistently outperforms standard cross-family OPD.
CoRe-MoE is proposed, a Compact Reusable MoE framework for parameter-efficient continual multimodal instruction tuning that improves final average performance over the strongest competing baseline by up to 5.90 points, while using less than 1% of the trainable parameters required by sequential LoRA for later tasks.
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