Papers by Yutai Duan
Convolutional LoRA Aggregation for Unseen Tasks Adaptation (2025.findings-emnlp)
Copied to clipboard
| Challenge: | Existing LoRA selection methods rely on a few task samples, making it difficult to capture full scope of task-relevant information. |
| Approach: | They propose a framework that selects appropriate LoRA modules and aggregates them using a convolutional LoRA aggregator. |
| Outcome: | The proposed framework bridges the knowledge gap between selected modules and target task . it ensures comprehensive coverage of task-relevant LoRA modules . |