Unverified50% confidenceFactExact time
LoRA论文由微软研究院的Edward Hu等人于2021年发表，证明该方法在多数下游任务上能达到接近全参数微调的效果
1
Sources
50%
Confidence
Long-term
Relevance
8/5/2026
First Seen
Sources
Related Claims
VerifiedLoRA (Low-Rank Adaptation) is a parameter-efficient fine-tuning method proposed by Microsoft Research in 2022.77% similarUnverifiedLoRA技术源头可追溯至微软研究院2021年发表的同名论文，核心基于内在秩假说75% similarUnverifiedThe LoRA fine-tuning technique was originally proposed by Microsoft Research in 2021 for parameter-efficient fine-tuning of large language models.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/688996API
curl https://kongchang.com/api/v1/knowledge/claims/688996MCP
get_claim(id=688996)