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.AR2025
Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead
Guang Yang, Wei Zheng, Xiang Chen +14
Code generation has emerged as a critical research area at the intersection of Software Engineering (SE) and Artificial Intelligence (AI), attracting significant attention from bot…
cs.CL2025
Shadow-FT: Tuning Instruct Model via Training on Paired Base Model
Taiqiang Wu, Runming Yang, Jiayi Li +4
Large language models (LLMs) consistently benefit from further fine-tuning on various tasks. However, we observe that directly tuning the Instruct (i.e., instruction-tuned) models…