{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T14:44:42Z","timestamp":1784645082563,"version":"3.55.0"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62220106011"],"award-info":[{"award-number":["62220106011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007834","name":"Natural Science Foundation of Ningbo Municipality","doi-asserted-by":"publisher","award":["2023J194"],"award-info":[{"award-number":["2023J194"]}],"id":[{"id":"10.13039\/100007834","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University of Nottingham Ningbo China Education Foundation","award":["LDS202303"],"award-info":[{"award-number":["LDS202303"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Emerg. Sel. Topics Circuits Syst."],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1109\/jetcas.2025.3568548","type":"journal-article","created":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T18:00:49Z","timestamp":1746813649000},"page":"337-348","source":"Crossref","is-referenced-by-count":4,"title":["LLM4Netlist: LLM-Enabled Step-Based Netlist Generation From Natural Language Description"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7305-737X","authenticated-orcid":false,"given":"Kailiang","family":"Ye","sequence":"first","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9375-0457","authenticated-orcid":false,"given":"Qingyu","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8719-3690","authenticated-orcid":false,"given":"Zheng","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0305-2135","authenticated-orcid":false,"given":"Heng","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0102-2581","authenticated-orcid":false,"given":"Tianxiang","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1722-568X","authenticated-orcid":false,"given":"Ruibin","family":"Bai","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1420-0815","authenticated-orcid":false,"given":"Linlin","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Evaluation of OpenAI o1: Opportunities and challenges of AGI","author":"Zhong","year":"2024","journal-title":"arXiv:2409.18486"},{"key":"ref2","article-title":"LLaMA: Open and efficient foundation language models","author":"Touvron","year":"2023","journal-title":"arXiv:2302.13971"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2024.3427421"},{"key":"ref4","article-title":"MG-MotionLLM: A unified framework for motion comprehension and generation across multiple granularities","author":"Wu","year":"2025","journal-title":"arXiv:2504.02478"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.125701"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MLCAD58807.2023.10299874"},{"key":"ref7","article-title":"ChipNeMo: Domain-adapted LLMs for chip design","author":"Liu","year":"2023","journal-title":"arXiv:2311.00176"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD57390.2023.10323812"},{"key":"ref9","article-title":"Generating secure hardware using chatgpt resistant to cwes","author":"Nair","year":"2023","journal-title":"Cryptol. ePrint Arch."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.23919\/DATE56975.2023.10137086"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LAD62341.2024.10691788"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3643681"},{"key":"ref13","volume-title":"Design Compiler: Timing, Area, Power, & Test Optimization","year":"2021"},{"key":"ref14","article-title":"AutoChip: Automating HDL generation using LLM feedback","author":"Thakur","year":"2023","journal-title":"arXiv:2311.04887"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.iotcps.2023.04.003"},{"key":"ref16","volume-title":"Openai Api Models Overview","author":"Platform","year":"2024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3649329.3657356"},{"key":"ref18","volume-title":"Meta-llama-3-8b-instruct","year":"2024"},{"key":"ref19","volume-title":"Deepseek V2.5: Comprehensive Abilities and Performance","year":"2024"},{"key":"ref20","article-title":"Fine-tuning language models from human preferences","author":"Ziegler","year":"2019","journal-title":"arXiv:1909.08593"},{"issue":"70","key":"ref21","first-page":"1","article-title":"Scaling instruction-finetuned language models","volume":"25","author":"Chung","year":"2024","journal-title":"J. Mach. Learn. Res."},{"key":"ref22","article-title":"Orca: Progressive learning from complex explanation traces of GPT-4","author":"Mukherjee","year":"2023","journal-title":"arXiv:2306.02707"},{"key":"ref23","first-page":"1","article-title":"Learning from correctness without prompting makes LLM efficient reasoner","volume-title":"Proc. 1st Conf. Lang. Model.","author":"Yao"},{"key":"ref24","volume-title":"Berkeley Logic Interchange Format (blif)","year":"2024"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2010.31"},{"key":"ref26","article-title":"Bigcodebench: Benchmarking code generation with diverse function calls and complex instructions","author":"Zhuo","year":"2024","journal-title":"arXiv:2406.15877"},{"key":"ref27","volume-title":"Llama 3 Model Card","year":"2024"},{"key":"ref28","first-page":"1","article-title":"Qlora: Efficient finetuning of quantized llms","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Dettmers"},{"key":"ref29","volume-title":"Gpt-4 Technical Report","year":"2023"},{"key":"ref30","volume-title":"Claude","year":"2023"},{"key":"ref31","volume-title":"Google Gemini 1.5 Pro: Pushing the Boundaries of Large Language Models","author":"Team","year":"2024"},{"key":"ref32","volume-title":"Qwen1.5-7b: Comprehensive Abilities and Performance","year":"2024"},{"key":"ref33","article-title":"The llama 3 herd of models","author":"Grattafiori","year":"2024","journal-title":"arXiv:2407.21783"},{"key":"ref34","article-title":"Mistral 7B","author":"Jiang","year":"2023","journal-title":"arXiv:2310.06825"},{"key":"ref35","first-page":"24824","article-title":"Chain-of-Thought prompting elicits reasoning in large language models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lee"}],"container-title":["IEEE Journal on Emerging and Selected Topics in Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5503868\/11050007\/10994462.pdf?arnumber=10994462","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T17:43:46Z","timestamp":1750959826000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10994462\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":35,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jetcas.2025.3568548","relation":{},"ISSN":["2156-3357","2156-3365"],"issn-type":[{"value":"2156-3357","type":"print"},{"value":"2156-3365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6]]}}}