{"id":"https://openalex.org/W7151749990","doi":"https://doi.org/10.48550/arxiv.2604.05550","title":"AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery","display_name":"AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7151749990","doi":"https://doi.org/10.48550/arxiv.2604.05550"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.05550","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05550","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.05550","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133214853","display_name":"Yu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074705732","display_name":"Chenyang Shao","orcid":"https://orcid.org/0009-0008-5673-9978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shao, Chenyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122964202","display_name":"Xinyang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xinyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101184074","display_name":"Ruotong Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Ruotong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103143811","display_name":"Peijie Liu","orcid":"https://orcid.org/0000-0002-0750-4776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Peijie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068152831","display_name":"Hongyuan Su","orcid":"https://orcid.org/0009-0007-1110-2124"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Su, Hongyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604104","display_name":"Zhibin Chen","orcid":"https://orcid.org/0000-0002-5425-6189"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhibin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133165151","display_name":"Qinglong Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Qinglong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133156470","display_name":"Anjie Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Anjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133225620","display_name":"Yi Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102958559","display_name":"Qingbin Zeng","orcid":"https://orcid.org/0000-0001-6075-9690"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Qingbin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133193266","display_name":"Tianxing Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Tianxing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133219506","display_name":"Jingbo Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Jingbo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133156676","display_name":"Fengli Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Fengli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133148687","display_name":"Yong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133207677","display_name":"Tie-Yan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Tie-Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":16,"corresponding_author_ids":["https://openalex.org/A5133214853"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.26409998536109924,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.26409998536109924,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.18359999358654022,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.10740000009536743,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6771000027656555},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.5968999862670898},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5497999787330627},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46970000863075256},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4634999930858612},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.45399999618530273},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.37400001287460327},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.34769999980926514},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.3434000015258789}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8012999892234802},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6771000027656555},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.5968999862670898},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5497999787330627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47290000319480896},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46970000863075256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46369999647140503},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3840999901294708},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.28839999437332153},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2824000120162964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27790001034736633},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C4924752","wikidata":"https://www.wikidata.org/wiki/Q184148","display_name":"Plug-in","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.05550","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05550","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.05550","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05550","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6327676177024841,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"research":[2,44,131,218,235],"increasingly":[3],"depends":[4],"on":[5,129],"prolonged":[6],"cycles":[7],"of":[8,31,234],"reproduction,":[9],"debugging,":[10],"and":[11,59,76,81,83,104,107,115,119,144,159,191,210,242],"iterative":[12],"refinement":[13],"to":[14,57,102,122,204],"achieve":[15],"State-Of-The-Art":[16],"(SOTA)":[17],"performance,":[18],"creating":[19],"a":[20,91,225,231],"growing":[21],"need":[22],"for":[23,141],"systems":[24],"that":[25,46,98,170,195,216,237],"can":[26,198,220],"accelerate":[27],"the":[28,48,172,196],"full":[29],"pipeline":[30],"empirical":[32],"model":[33],"optimization.":[34,161],"In":[35],"this":[36,67,87],"work,":[37],"we":[38],"introduce":[39],"AutoSOTA,":[40],"an":[41],"end-to-end":[42,153,217],"automated":[43,157],"system":[45,197],"advances":[47],"latest":[49],"SOTA":[50,63,168],"models":[51,169],"published":[52],"in":[53,155],"top-tier":[54,136],"AI":[55,137],"papers":[56,101,132],"reproducible":[58],"empirically":[60],"improved":[61],"new":[62,167,232],"models.":[64],"We":[65,126],"formulate":[66],"problem":[68],"through":[69],"three":[70],"tightly":[71],"coupled":[72],"stages:":[73],"resource":[74],"preparation":[75],"goal":[77],"setting;":[78],"experiment":[79],"evaluation;":[80],"reflection":[82],"ideation.":[84],"To":[85],"tackle":[86],"problem,":[88],"AutoSOTA":[89,128,150],"adopts":[90],"multi-agent":[92],"architecture":[93],"with":[94],"eight":[95,135],"specialized":[96],"agents":[97],"collaboratively":[99],"ground":[100],"code":[103,142],"dependencies,":[105],"initialize":[106],"repair":[108],"execution":[109,145],"environments,":[110],"track":[111],"long-horizon":[112],"experiments,":[113],"generate":[114],"schedule":[116],"optimization":[117,192],"ideas,":[118],"supervise":[120],"validity":[121],"avoid":[123],"spurious":[124],"gains.":[125],"evaluate":[127],"recent":[130],"collected":[133],"from":[134],"conferences":[138],"under":[139],"filters":[140],"availability":[143],"cost.":[146],"Across":[147],"these":[148],"papers,":[149],"achieves":[151],"strong":[152],"performance":[154,226],"both":[156],"replication":[158],"subsequent":[160],"Specifically,":[162],"it":[163],"successfully":[164],"discovers":[165],"105":[166],"surpass":[171],"original":[173],"reported":[174],"methods,":[175],"averaging":[176],"approximately":[177],"five":[178],"hours":[179],"per":[180],"paper.":[181],"Case":[182],"studies":[183],"spanning":[184],"LLM,":[185],"NLP,":[186],"computer":[187],"vision,":[188],"time":[189],"series,":[190],"further":[193],"show":[194],"move":[199],"beyond":[200],"routine":[201],"hyperparameter":[202],"tuning":[203],"identify":[205],"architectural":[206],"innovation,":[207],"algorithmic":[208],"redesigns,":[209],"workflow-level":[211],"improvements.":[212],"These":[213],"results":[214],"suggest":[215],"automation":[219],"serve":[221],"not":[222],"only":[223],"as":[224,230],"optimizer,":[227],"but":[228],"also":[229],"form":[233],"infrastructure":[236],"reduces":[238],"repetitive":[239],"experimental":[240],"burden":[241],"helps":[243],"redirect":[244],"human":[245],"attention":[246],"toward":[247],"higher-level":[248],"scientific":[249],"creativity.":[250]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-04-09T00:00:00"}
