Uni-LoRA: One Vector is All You Need
NeurIPSSpotlight2025
TL;DR
Low-Rank Adaptation (LoRA) has become the de facto parameter-efficient fine-tuning (PEFT) method for large language models (LLMs) by constraining weight updates to low-rank matrices…
Opening excerpt from the authors’ abstract. source
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Topics
large language model language model fine-tuning efficient llm
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