AI RESEARCH
HyperAdapt: Simple High-Rank Adaptation
arXiv CS.LG
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ArXi:2509.18629v3 Announce Type: replace Foundation models excel across diverse tasks, but adapting them to specialized applications often requires fine-tuning, an approach that is memory and compute-intensive. Parameter-efficient fine-tuning (PEFT) methods mitigate this by updating only a small subset of weights. In this paper, we