1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
ChipLingo: A Systematic Training Framework for Large Language Models in EDA
Lei Li, Xingwen Yu, Jianguo Ni +4
With the rapid advancement of semiconductor technology, Electronic Design Automation (EDA) has become an increasingly knowledge-intensive and document-driven engineering domain. Al…
cs.CL2024★ 1 cited
EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
Yixin Ou, Ningyu Zhang, Honghao Gui +9
In recent years, instruction tuning has gained increasing attention and emerged as a crucial technique to enhance the capabilities of Large Language Models (LLMs). To construct hig…