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FiUni reveals that task-free continual learning can be achieved by intelligently leveraging Fisher information, enabling LLMs to adapt without explicit task boundaries.
Modular adaptation in SE-MoLoRA not only boosts critique performance but also streamlines the process, reducing the need for extensive model training.