一作ACL 2026Poster· Natural Language Processing
L o RA on the Go: Instance-level Dynamic L o RA Selection and Merging
Seungeon Lee · Soumi Das · Manish Gupta · Krishna P. Gummadi
摘要
Low-Rank Adaptation (LoRA) has emerged as a parameter-efficient approach for fine-tuning large language models. However, conventional LoRA adapters are typically trained for a single task, limiting their applicability in real-world settings, where inputs may span multiple, diverse task domains. A...