3 papers
cs.SE2026
DISTINCT: A Description-Guided Branch-Consistency Analysis Framework for Non-Regressive Test Case Generation
Pengyu Xue, Yuxiang Zhang, Zhen Yang +5
Automated test-generation research overwhelmingly assumes the correctness of focal methods, yet practitioners routinely face non-regression scenarios where the focal method may be…
cs.CL2025
MSPLoRA: A Multi-Scale Pyramid Low-Rank Adaptation for Efficient Model Fine-Tuning
Jiancheng Zhao, Xingda Yu, Zhen Yang
Parameter-Efficient Fine-Tuning (PEFT) has become an essential approach for adapting large-scale pre-trained models while reducing computational costs. Among PEFT methods, LoRA sig…
cs.CL2025
LoR2C : Low-Rank Residual Connection Adaptation for Parameter-Efficient Fine-Tuning
Jiancheng Zhao, Xingda Yu, Yuxiang Zhang +1
In recent years, pretrained large language models have demonstrated outstanding performance across various natural language processing tasks. However, full-parameter fine-tuning me…