Block Circulant Adapter (BCA) fine-tunes LLMs with block circulant weight matrices, matching LoRA/FourierFT task performance while using fewer parameters than LoRA and fewer FLOPs than FourierFT.
Lamda: Large model fine-tuning via spectrally decomposed low-dimensional adaptation,
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Block Circulant Adapter for Large Language Models
Block Circulant Adapter (BCA) fine-tunes LLMs with block circulant weight matrices, matching LoRA/FourierFT task performance while using fewer parameters than LoRA and fewer FLOPs than FourierFT.