Hefei Qiu

most citedLoRA

^{2}

: Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2026

Implementation of a Metacognition Framework for Self-Awareness and Self-Regulation in Ensembles of LLMs

Charles Courchaine, Ricky J. Sethi, Hefei Qiu

Large Language Models (LLMs) are notorious for struggling with assessing their own uncertainty, detecting knowledge conflicts, or recognizing when problems exceed their expertise;…

cs.CL2024★ 1 cited

LoRA $^{2}$ : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models

Jia-Chen Zhang, Yu-Jie Xiong, He-Xi Qiu +2

Fine-tuning large language models (LLMs) with high parameter efficiency for downstream tasks has become a new paradigm. Low-Rank Adaptation (LoRA) significantly reduces the number…

Implementation of a Metacognition Framework for Self-Awareness and Self-Regulation in Ensembles of LLMs

LoRA2 : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models

LoRA $^{2}$ : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models