{"id":"https://openalex.org/W7134990058","doi":"https://doi.org/10.1109/asp-dac66049.2026.11420420","title":"REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models","display_name":"REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models","publication_year":2026,"publication_date":"2026-01-19","ids":{"openalex":"https://openalex.org/W7134990058","doi":"https://doi.org/10.1109/asp-dac66049.2026.11420420"},"language":null,"primary_location":{"id":"doi:10.1109/asp-dac66049.2026.11420420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac66049.2026.11420420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 31st Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077052572","display_name":"Kyungjun Min","orcid":"https://orcid.org/0000-0002-4965-5484"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungjun Min","raw_affiliation_strings":["Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128786413","display_name":"Kyumin Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyumin Cho","raw_affiliation_strings":["Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128723060","display_name":"Junhwan Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junhwan Jang","raw_affiliation_strings":["Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044543389","display_name":"Seokhyeong Kang","orcid":"https://orcid.org/0000-0003-3015-1806"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokhyeong Kang","raw_affiliation_strings":["Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31865941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0885000005364418,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0885000005364418,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.049300000071525574,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.04809999838471413,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.2766000032424927},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.2750000059604645},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.2736000120639801},{"id":"https://openalex.org/keywords/modeling-language","display_name":"Modeling language","score":0.27140000462532043},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.2662999927997589}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887000203132629},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4203000068664551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3917999863624573},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35339999198913574},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2922999858856201},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.27140000462532043},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asp-dac66049.2026.11420420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac66049.2026.11420420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 31st Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W4214717370","https://openalex.org/W4389166737","https://openalex.org/W4389727268","https://openalex.org/W4391681217","https://openalex.org/W4392972103","https://openalex.org/W4403511190","https://openalex.org/W4407749900","https://openalex.org/W4409285469","https://openalex.org/W4409285487","https://openalex.org/W4409369309","https://openalex.org/W4410583194","https://openalex.org/W4410583829","https://openalex.org/W4413822481","https://openalex.org/W4414197266","https://openalex.org/W4414198576","https://openalex.org/W4415003690","https://openalex.org/W7084125780"],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"are":[4,35],"used":[5],"for":[6,60,99,169],"Register-Transfer":[7],"Level":[8],"(RTL)":[9],"code":[10],"generation,":[11],"but":[12,33],"they":[13,34],"face":[14],"two":[15],"main":[16],"challenges:":[17],"functional":[18],"correctness":[19],"and":[20,23,64,82,96,102,132],"Power,":[21],"Performance,":[22],"Area":[24],"(PPA)":[25],"optimization.":[26,65],"Iterative,":[27],"feedbackbased":[28],"methods":[29],"partially":[30],"address":[31],"these,":[32],"limited":[36],"to":[37,124,148,163],"local":[38],"search,":[39],"hindering":[40],"the":[41,116,130,139,167,176,206],"discovery":[42],"of":[43,70,119,143,160,209],"a":[44,51,68,77,88,156,190],"global":[45],"optimum.":[46],"This":[47,187],"paper":[48],"introduces":[49,189],"REvolution,":[50],"framework":[52,86],"that":[53,91,136],"combines":[54],"Evolutionary":[55],"Computation":[56],"(EC)":[57],"with":[58,200],"LLMs":[59,145],"automatic":[61],"RTL":[62,80,178,192],"generation":[63],"REvolution":[66,137],"evolves":[67],"population":[69],"candidates":[71,93],"in":[72],"parallel,":[73],"each":[74,120],"defined":[75],"by":[76,113,146,195],"design":[78,193],"strategy,":[79],"implementation,":[81],"evaluation":[83],"feedback.":[84],"The":[85,152],"includes":[87],"dual-population":[89],"algorithm":[90],"divides":[92],"into":[94],"Fail":[95],"Success":[97],"groups":[98],"bug":[100],"fixing":[101],"PPA":[103,182],"optimization,":[104],"respectively.":[105],"An":[106],"adaptive":[107],"mechanism":[108],"further":[109],"improves":[110],"search":[111,203],"efficiency":[112],"dynamically":[114],"adjusting":[115],"selection":[117],"probability":[118],"prompt":[121],"strategy":[122],"according":[123],"its":[125],"success":[126],"rate.":[127],"Experiments":[128],"on":[129],"VerilogEval":[131],"RTLLM":[133],"benchmarks":[134],"show":[135],"increased":[138],"initial":[140],"pass":[141,158],"rate":[142,159],"various":[144],"up":[147],"24.0":[149],"percentage":[150],"points.":[151],"DeepSeek-V3":[153],"model":[154],"achieved":[155],"final":[157],"95.5%,":[161],"comparable":[162],"state-of-the-art":[164],"results,":[165],"without":[166],"need":[168],"separate":[170],"training":[171],"or":[172],"domain-specific":[173],"tools.":[174],"Additionally,":[175],"generated":[177],"designs":[179],"showed":[180],"significant":[181],"improvements":[183],"over":[184],"reference":[185],"designs.":[186],"work":[188],"new":[191],"approach":[194],"combining":[196],"LLMs\u2019":[197],"generative":[198],"capabilities":[199],"EC\u2019s":[201],"broad":[202],"power,":[204],"overcoming":[205],"local-search":[207],"limitations":[208],"previous":[210],"methods.":[211]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-12T00:00:00"}