125 citations · 361 across the 46 of their papers we have counts for
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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…
cs.LG2023★ 17 cited
VerilogEval: Evaluating Large Language Models for Verilog Code Generation
Mingjie Liu, Nathaniel Pinckney, Brucek Khailany +1
The increasing popularity of large language models (LLMs) has paved the way for their application in diverse domains. This paper proposes a benchmarking framework tailored specific…