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  These are the official pre-trained model weights and configuration files for **D<sup>2</sup>MoRA**, a novel **diversity-regulated asymmetric MoE-LoRA decomposition framework** for **parameter-efficient fine-tuning (PEFT)** of large language models in **multi-task adaptation** scenarios.
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  🔗 **Paper:** [Accepted by AAAI 2026]
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- 🔗 **GitHub Repository:** [softwavec/D2MoRA](https://github.com/iLearn-Lab/AAAI26-D2MoRA)
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  These are the official pre-trained model weights and configuration files for **D<sup>2</sup>MoRA**, a novel **diversity-regulated asymmetric MoE-LoRA decomposition framework** for **parameter-efficient fine-tuning (PEFT)** of large language models in **multi-task adaptation** scenarios.
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  🔗 **Paper:** [Accepted by AAAI 2026]
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+ 🔗 **GitHub Repository:** [AAAI26-D2MoRA](https://github.com/iLearn-Lab/AAAI26-D2MoRA)
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