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cs.CL2025
Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models
Haomin Qi, Chengbo Huang, Zihan Dai +1
We present a governance-aware hybrid fine-tuning framework for multilingual, low-resource adaptation of large language models. The core algorithm combines gradient-aligned low-rank…
cs.CL2025★ 1 cited
Hybrid and Unitary PEFT for Resource-Efficient Large Language Models
Haomin Qi, Zihan Dai, Chengbo Huang
Fine-tuning large language models (LLMs) remains a computational bottleneck due to their scale and memory demands. This paper presents a comprehensive evaluation of parameter-effic…