Papers by Dongwen Tang
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion (2025.findings-emnlp)
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| Challenge: | Existing approaches to low-rank Adaptation (LoRA) are limited in scalability and controllability. |
| Approach: | They propose a conditional recurrent diffusion framework that generates LoRA parameters directly . they integrate model architecture and textual task specifications to generate task-specific parameters . |
| Outcome: | The proposed framework scales to billions-of-parameter LLMs and maintains controllability. |