Uni-LoRA: One Vector is All You Need

NeurIPSSpotlight2025

Authors
Kaiyang Li, Shaobo Han, Qing Su, Wei Li, Zhipeng Cai, Shihao Ji
Venue
NeurIPS 2025
Track
Spotlight

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…

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Topics

large language model language model fine-tuning efficient llm

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