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This equation captures one of the core mathematical components of the system. where Pi are fixed r × r random projection matrices (drawn once and frozen), and v ∈Ru is the only
BoostLoRA: Growing Effective Rank by Boosting Adapters explores BoostLoRA enhances parameter-efficient fine-tuning by iteratively merging small adapters to grow effective rank, achieving state-of-the-art performance without inference overhead.. Commercial viability score: 7/10 in LLM Fine-tuning.
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/buildability/boostlora-growing-effective-rank-by-boosting-adapters
Subject: BoostLoRA: Growing Effective Rank by Boosting Adapters
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This equation captures one of the core mathematical components of the system. where Pi are fixed r × r random projection matrices (drawn once and frozen), and v ∈Ru is the only
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Receipt path
/buildability/boostlora-growing-effective-rank-by-boosting-adapters
Paper ref
boostlora-growing-effective-rank-by-boosting-adapters
arXiv id
2604.27308
Generated at
2026-05-01T15:05:03.462Z
Evidence freshness
fresh
Last verification
2026-05-01T15:05:03.462Z
Sources
3
References
0
Coverage
50%
Lineage hash
7a9d317b863675ca5cdcde28cd686a74e57e5a8ae6e1581647e665fc43c32840
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
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Pending verification refs / 3 sources / Verification pending
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This equation captures one of the core mathematical components of the system. all modules within a group share the same v. With g = 4 groups and projection dimension u = 3, the
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