{"id":"https://openalex.org/W7138076355","doi":"https://doi.org/10.1609/aaai.v40i17.38451","title":"Cubing for Tuning","display_name":"Cubing for Tuning","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138076355","doi":"https://doi.org/10.1609/aaai.v40i17.38451"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i17.38451","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38451","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i17.38451","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100637734","display_name":"Haoze Wu","orcid":"https://orcid.org/0000-0002-5077-144X"},"institutions":[{"id":"https://openalex.org/I177605424","display_name":"Amherst College","ror":"https://ror.org/028vqfs63","country_code":"US","type":"education","lineage":["https://openalex.org/I177605424"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haoze Wu","raw_affiliation_strings":["Amherst College\nVMware Research by Broadcom"],"affiliations":[{"raw_affiliation_string":"Amherst College\nVMware Research by Broadcom","institution_ids":["https://openalex.org/I177605424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129655199","display_name":"Clark Barrett","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clark Barrett","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034897040","display_name":"Nina Narodytska","orcid":"https://orcid.org/0000-0002-5181-4560"},"institutions":[{"id":"https://openalex.org/I1296127346","display_name":"Broadcom (Israel)","ror":"https://ror.org/01jsrac29","country_code":"IL","type":"company","lineage":["https://openalex.org/I1296127346","https://openalex.org/I4210127325"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Nina Narodytska","raw_affiliation_strings":["VMware Research by Broadcom"],"affiliations":[{"raw_affiliation_string":"VMware Research by Broadcom","institution_ids":["https://openalex.org/I1296127346"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100637734"],"corresponding_institution_ids":["https://openalex.org/I177605424"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"17","first_page":"14361","last_page":"14370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.7627999782562256,"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"}},"topics":[{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.7627999782562256,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.05209999904036522,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.015399999916553497,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.43630000948905945},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.39309999346733093},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3327000141143799},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"Fine-tuning","score":0.3310000002384186},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.32899999618530273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899999976158142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4731000065803528},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43630000948905945},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C157524613","wikidata":"https://www.wikidata.org/wiki/Q2828883","display_name":"Fine-tuning","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.329800009727478},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.26109999418258667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i17.38451","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38451","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i17.38451","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38451","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,98],"are":[1,23],"exploring":[2],"the":[3,14,37,52,61,79],"problem":[4],"of":[5,28,40,63,78,105],"building":[6],"an":[7,43,88],"automated":[8,89],"reasoning":[9],"procedure":[10],"that":[11,82,113],"adaptively":[12],"tunes":[13],"high-level":[15],"solving":[16,96,119],"strategy":[17],"for":[18,87],"a":[19,94],"given":[20,53],"problem.":[21],"There":[22],"two":[24,103],"main":[25],"distinctive":[26],"characteristics":[27],"our":[29,114],"approach:":[30],"tuning":[31,41,47,90],"is":[32],"performed":[33],"solely":[34],"online,":[35],"unlike":[36],"common":[38],"use":[39],"as":[42],"offline":[44],"process;":[45],"and":[46,66,108],"data":[48],"comes":[49],"exclusively":[50],"from":[51],"instance,":[54],"so":[55],"we":[56],"do":[57],"not":[58],"rely":[59],"on":[60,76,102],"availability":[62],"similar":[64],"benchmarks":[65],"can":[67,116],"work":[68],"with":[69],"unique":[70],"challenging":[71],"instances.":[72],"Our":[73],"approach":[74],"builds":[75],"top":[77],"divide-and-conquer":[80],"paradigm":[81],"naturally":[83],"serves":[84],"partitioned":[85],"sub-problems":[86],"algorithm":[91],"to":[92],"obtain":[93],"good":[95],"strategy.":[97],"demonstrate":[99],"performance":[100],"improvement":[101],"classes":[104],"important":[106],"problems--SAT-solving":[107],"neural":[109],"network":[110],"verification--and":[111],"show":[112],"method":[115],"learn":[117],"unconventional":[118],"strategies":[120],"in":[121],"some":[122],"cases.":[123]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-03-18T00:00:00"}
