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NestedVLA: Using Hypernetworks to Generate Task-Adaptive Parameters for VLA Skill Consolidation

The NeurIPS 2026 paper NestedVLA proposes using a nested hypernetwork to generate task-adaptive action-expert parameters for a target task, combining them with a frozen base VLA. This replaces parameter aggregation with parameter generation, mitigating interference in multi-task training.

Part of the event: NestedVLA Uses Hypernetworks to Generate Action Expert Parameters for VLA Skill Integration

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