LoRA modules are a complementary, finite-capacity parametric memory for LLMs: capacity grows with rank, small ranks are most parameter-efficient, synthetic QA data helps most, and practical multi-LoRA systems are bottlenecked by routing and merging degradation.
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Understanding LoRA as Knowledge Memory: An Empirical Analysis
LoRA modules are a complementary, finite-capacity parametric memory for LLMs: capacity grows with rank, small ranks are most parameter-efficient, synthetic QA data helps most, and practical multi-LoRA systems are bottlenecked by routing and merging degradation.