{"id":"https://openalex.org/W4405898980","doi":"https://doi.org/10.1145/3698364.3705347","title":"DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent","display_name":"DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent","publication_year":2025,"publication_date":"2025-03-13","ids":{"openalex":"https://openalex.org/W4405898980","doi":"https://doi.org/10.1145/3698364.3705347"},"language":"en","primary_location":{"id":"doi:10.1145/3698364.3705347","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3698364.3705347","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Symposium on Physical Design","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3698364.3705347","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028018784","display_name":"Chen-Chia Chang","orcid":"https://orcid.org/0000-0003-3115-0733"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chen-Chia Chang","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053201835","display_name":"Chia-Tung Ho","orcid":"https://orcid.org/0000-0002-6479-7552"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chia-Tung Ho","raw_affiliation_strings":["NVIDIA Research, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003109386","display_name":"Yaguang Li","orcid":"https://orcid.org/0000-0002-6856-2128"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaguang Li","raw_affiliation_strings":["NVIDIA, Austin, USA","NVIDIA Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Austin, USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"NVIDIA Austin, TX, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029928585","display_name":"Haoxing Ren","orcid":"https://orcid.org/0000-0003-1028-3860"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoxing Ren","raw_affiliation_strings":["NVIDIA Research, Austin, USA","NVIDIA Research Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA Research, Austin, USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"NVIDIA Research Austin, TX, USA","institution_ids":["https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028018784"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":15.8325,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98461083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13999","display_name":"Digital Rights Management and Security","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13999","display_name":"Digital Rights Management and Security","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9298999905586243,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.926800012588501,"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/computer-science","display_name":"Computer science","score":0.7697170972824097},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.6936699748039246},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5376141667366028},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.5118033289909363},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3222530782222748},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.23410198092460632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7697170972824097},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6936699748039246},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5376141667366028},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.5118033289909363},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3222530782222748},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.23410198092460632},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3698364.3705347","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3698364.3705347","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Symposium on Physical Design","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2412.05311","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.05311","pdf_url":"https://arxiv.org/pdf/2412.05311","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3698364.3705347","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3698364.3705347","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Symposium on Physical Design","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4931398844","display_name":null,"funder_award_id":"2106828","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2946290290","https://openalex.org/W2997716136","https://openalex.org/W3100453629","https://openalex.org/W3211857759","https://openalex.org/W4283828996","https://openalex.org/W4353031993","https://openalex.org/W4372353003","https://openalex.org/W4392172801","https://openalex.org/W4393065402","https://openalex.org/W4403024163"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2163672025","https://openalex.org/W2048831961","https://openalex.org/W1606349578","https://openalex.org/W4399567378"],"abstract_inverted_index":{"In":[0,72],"the":[1,5,31,66,160],"advanced":[2],"technology":[3,63,139,189],"nodes,":[4,64],"integrated":[6,26],"design":[7,120,179],"rule":[8,110,180],"checker":[9],"(DRC)":[10],"is":[11],"often":[12],"utilized":[13],"in":[14,154],"place":[15],"and":[16,47,94,105,112,191],"route":[17],"tools":[18,36],"for":[19,23,84,124,141,158,177],"fast":[20],"optimization":[21],"loops":[22],"power-performance-area.":[24],"Implementing":[25],"DRC":[27,35,86,128,156,165],"checkers":[28],"to":[29,41,56,108,126],"meet":[30],"standard":[32,144,161,169],"of":[33,62,69,162],"commercial":[34,164],"demands":[37],"extensive":[38],"human":[39],"expertise":[40],"interpret":[42],"foundry":[43],"specifications,":[44],"analyze":[45],"layouts,":[46],"debug":[48],"code":[49,87,129,176],"iteratively.":[50],"However,":[51],"this":[52,73],"labor-intensive":[53],"process,":[54],"requiring":[55],"be":[57],"repeated":[58],"by":[59,114],"every":[60],"update":[61],"prolongs":[65],"turnaround":[67],"time":[68],"designing":[70],"circuits.":[71],"paper,":[74],"we":[75],"present":[76],"DRC-Coder,":[77],"a":[78,137,142,163],"multi-agent":[79],"framework":[80],"with":[81],"vision":[82,91],"capabilities":[83],"automated":[85],"generation.":[88],"By":[89],"incorporating":[90],"language":[92,96],"models":[93,97],"large":[95],"(LLM),":[98],"DRC-Coder":[99,148,173],"can":[100,174],"effectively":[101],"process":[102],"textual,":[103],"visual,":[104],"layout":[106,146],"information":[107],"perform":[109],"interpretation":[111],"coding":[113],"two":[115],"specialized":[116],"LLMs.":[117],"We":[118],"also":[119],"an":[121],"auto-evaluation":[122],"function":[123],"LLMs":[125],"enable":[127],"debugging.":[130],"Experimental":[131],"results":[132],"show":[133],"that":[134],"targeting":[135],"on":[136,184],"sub-3nm":[138],"node":[140],"state-of-the-art":[143],"cell":[145],"tool,":[147,166],"achieves":[149],"perfect":[150],"F1":[151],"score":[152],"1.000":[153],"generating":[155],"codes":[157],"meeting":[159],"highly":[167],"outperforming":[168],"prompting":[170],"techniques":[171],"(F1=0.631).":[172],"generate":[175],"each":[178],"within":[181],"four":[182],"minutes":[183],"average,":[185],"which":[186],"significantly":[187],"accelerates":[188],"advancement":[190],"reduces":[192],"engineering":[193],"costs.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2024-12-30T00:00:00"}