{"id":"https://openalex.org/W4366999185","doi":"https://doi.org/10.48550/arxiv.2304.10970","title":"Can GPT-4 Perform Neural Architecture Search?","display_name":"Can GPT-4 Perform Neural Architecture Search?","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4366999185","doi":"https://doi.org/10.48550/arxiv.2304.10970"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2304.10970","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.10970","pdf_url":"https://arxiv.org/pdf/2304.10970","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2304.10970","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069965605","display_name":"Mingkai Zheng","orcid":"https://orcid.org/0000-0002-3690-359X","observed_orcids":["https://orcid.org/0000-0002-3690-359X"]},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["AU","GB"],"is_corresponding":false,"raw_author_name":"Zheng, Mingkai","raw_affiliation_strings":["CAML Lab , University of Cambridge","The University of Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAML Lab , University of Cambridge","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"The University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011334334","display_name":"Xiu Qin Su","orcid":"https://orcid.org/0000-0002-9863-5404","observed_orcids":["https://orcid.org/0000-0002-9863-5404"]},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Su, Xiu","raw_affiliation_strings":["The University of Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083588442","display_name":"Shan You","orcid":"https://orcid.org/0000-0003-1964-0430","observed_orcids":["https://orcid.org/0000-0003-1964-0430"]},"institutions":[{"id":"https://openalex.org/I4401727009","display_name":"Sensetime (China)","ror":"https://ror.org/049wsmj07","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401727009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You, Shan","raw_affiliation_strings":["SenseTime Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research","institution_ids":["https://openalex.org/I4401727009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455805","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-2212-3947","observed_orcids":["https://orcid.org/0000-0002-2212-3947"]},"institutions":[{"id":"https://openalex.org/I4401727009","display_name":"Sensetime (China)","ror":"https://ror.org/049wsmj07","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401727009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Fei","raw_affiliation_strings":["SenseTime Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research","institution_ids":["https://openalex.org/I4401727009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428431","display_name":"Qian Chen","orcid":"https://orcid.org/0000-0001-6939-7438","observed_orcids":["https://orcid.org/0000-0001-6939-7438","https://orcid.org/0009-0009-8296-5749"]},"institutions":[{"id":"https://openalex.org/I4401727009","display_name":"Sensetime (China)","ror":"https://ror.org/049wsmj07","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401727009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian, Chen","raw_affiliation_strings":["SenseTime Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research","institution_ids":["https://openalex.org/I4401727009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001529504","display_name":"Chang Xu","orcid":"https://orcid.org/0000-0002-4756-0609","observed_orcids":["https://orcid.org/0000-0002-4756-0609"]},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xu, Chang","raw_affiliation_strings":["The University of Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102018867","display_name":"Samuel Albanie","orcid":"https://orcid.org/0000-0003-1732-9198","observed_orcids":["https://orcid.org/0000-0003-1732-9198"]},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Albanie, Samuel","raw_affiliation_strings":["CAML Lab , University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAML Lab , University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5317000150680542,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.5317000150680542,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.1526000052690506,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.06340000033378601,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neural-architecture-search","display_name":"neural architecture search","score":0.9290000200271606},{"id":"https://openalex.org/keywords/gpt-4","display_name":"GPT-4","score":0.9990000128746033},{"id":"https://openalex.org/keywords/black-box-optimization","display_name":"black-box optimization","score":0.925000011920929},{"id":"https://openalex.org/keywords/genius","display_name":"genius","score":0.7379999756813049},{"id":"https://openalex.org/keywords/prompting","display_name":"prompting","score":0.42800000309944153},{"id":"https://openalex.org/keywords/ai-safety","display_name":"AI safety","score":0.9919999837875366}],"concepts":[{"id":"https://openalex.org/C118563197","wikidata":"https://www.wikidata.org/wiki/Q185030","display_name":"Genius","level":2,"score":0.7691240906715393},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.7217552661895752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.672580361366272},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6085622310638428},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5844520926475525},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5699751377105713},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5423517823219299},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4961179196834564},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.47808146476745605},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.44110703468322754},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.426000714302063},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4228472113609314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41793137788772583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4107435941696167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3406469225883484},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1329757571220398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1149027943611145},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10054272413253784},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.08733674883842468},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2304.10970","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.10970","pdf_url":"https://arxiv.org/pdf/2304.10970","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},{"id":"doi:10.48550/arxiv.2304.10970","doi":"https://doi.org/10.48550/arxiv.2304.10970","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2304.10970","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2304.10970","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.10970","pdf_url":"https://arxiv.org/pdf/2304.10970","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322909","display_name":"Isaac Newton Trust","ror":"https://ror.org/02gn6ta77"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366999185.pdf","grobid_xml":"https://content.openalex.org/works/W4366999185.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4376122907","https://openalex.org/W4402769683","https://openalex.org/W3162914052","https://openalex.org/W3104881550","https://openalex.org/W7111995102","https://openalex.org/W4410319941","https://openalex.org/W7203698759","https://openalex.org/W3212226353","https://openalex.org/W3204556155","https://openalex.org/W4205400983"],"abstract_inverted_index":{"We":[0,57,129],"investigate":[1],"the":[2,13,30,42],"potential":[3,85],"of":[4,15,33],"GPT-4~\\cite{gpt4}":[5],"to":[6,39,54,70,82,86,116,134],"perform":[7],"Neural":[8],"Architecture":[9],"Search":[10],"(NAS)":[11],"--":[12],"task":[14],"designing":[16],"effective":[17],"neural":[18],"architectures.":[19],"Our":[20],"proposed":[21],"approach,":[22],"\\textbf{G}PT-4":[23],"\\textbf{E}nhanced":[24],"\\textbf{N}eural":[25],"arch\\textbf{I}tect\\textbf{U}re":[26],"\\textbf{S}earch":[27],"(GENIUS),":[28],"leverages":[29],"generative":[31],"capabilities":[32],"GPT-4":[34],"as":[35],"a":[36,90,95],"black-box":[37],"optimiser":[38],"quickly":[40],"navigate":[41],"architecture":[43],"search":[44],"space,":[45],"pinpoint":[46],"promising":[47],"candidates,":[48],"and":[49,137],"iteratively":[50],"refine":[51],"these":[52],"candidates":[53],"improve":[55],"performance.":[56],"assess":[58],"GENIUS":[59],"across":[60],"several":[61],"benchmarks,":[62],"comparing":[63],"it":[64],"with":[65],"existing":[66],"state-of-the-art":[67,77],"NAS":[68],"techniques":[69],"illustrate":[71],"its":[72],"effectiveness.":[73],"Rather":[74],"than":[75],"targeting":[76],"performance,":[78],"our":[79,112,135],"objective":[80],"is":[81],"highlight":[83,131],"GPT-4's":[84],"assist":[87],"research":[88,118],"on":[89],"challenging":[91],"technical":[92],"problem":[93],"through":[94],"simple":[96],"prompting":[97],"scheme":[98],"that":[99,119],"requires":[100],"relatively":[101],"limited":[102],"domain":[103],"expertise\\footnote{Code":[104],"available":[105],"at":[106],"\\href{https://github.com/mingkai-zheng/GENIUS}{https://github.com/mingkai-zheng/GENIUS}.}.":[107],"More":[108],"broadly,":[109],"we":[110],"believe":[111],"preliminary":[113],"results":[114],"point":[115],"future":[117],"harnesses":[120],"general":[121],"purpose":[122],"language":[123],"models":[124],"for":[125,140],"diverse":[126],"optimisation":[127],"tasks.":[128],"also":[130],"important":[132],"limitations":[133],"study,":[136],"note":[138],"implications":[139],"AI":[141],"safety.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2023-04-27T00:00:00"}
