28 citations · 28 across the 2 of their papers we have counts for
2 papers
cs.SE2025
JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation
Ghasem Pasandi, Kishor Kunal, Varun Tej +8
This paper presents JARVIS, a novel multi-agent framework that leverages Large Language Models (LLMs) and domain expertise to generate high-quality scripts for specialized Electron…
cs.CL2023★ 28 cited
ChipNeMo: Domain-Adapted LLMs for Chip Design
Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby +39
ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we…