Not All Ranks Are Equal: Budget-Aware LoRA Merging Across Tasks.

arXiv:2609.22237v1 Announce Type: cross Abstract: Merging low-rank adapters (LoRAs) promises to eliminate the overhead of swapping task-specific weights at inference time. However, existing merging methods assume every layer needs the same rank budget. Further