AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping

NeurIPSSpotlight2025

Authors
Haonan Dong, Wenhao Zhu, Guojie Song, Liang Wang
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Low-Rank Adaptation (LoRA) is a widely adopted parameter-efficient fine-tuning (PEFT) method validated across NLP and CV domains…

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Topics

fine-tuning efficient

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