{"id":"https://openalex.org/W4386768482","doi":"https://doi.org/10.14778/3611540.3611630","title":"Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4","display_name":"Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4386768482","doi":"https://doi.org/10.14778/3611540.3611630"},"language":"en","primary_location":{"id":"doi:10.14778/3611540.3611630","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3611540.3611630","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5087259526","display_name":"Immanuel Trummer","orcid":"https://orcid.org/0000-0002-7203-2349"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Immanuel Trummer","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087259526"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":6.4303,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.96424263,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"16","issue":"12","first_page":"4098","last_page":"4101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9799000024795532,"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":0.9799000024795532,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9703999757766724,"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/computer-science","display_name":"Computer science","score":0.8704098463058472},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.6675058603286743},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.6109384298324585},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6094086170196533},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6039174795150757},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5481781959533691},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.43337973952293396},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.41631200909614563},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2742314040660858},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15744784474372864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8704098463058472},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.6675058603286743},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6109384298324585},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6094086170196533},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6039174795150757},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5481781959533691},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.43337973952293396},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.41631200909614563},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2742314040660858},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15744784474372864},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3611540.3611630","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3611540.3611630","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2032374895","https://openalex.org/W2890431379","https://openalex.org/W3011085391","https://openalex.org/W3095319910","https://openalex.org/W3165814564","https://openalex.org/W4281972940","https://openalex.org/W4285335450","https://openalex.org/W4287826606","https://openalex.org/W4312537169","https://openalex.org/W4312903631"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W4287027380","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W3116064965","https://openalex.org/W3193760048","https://openalex.org/W2048831961","https://openalex.org/W1606349578"],"abstract_inverted_index":{"GPT-DB":[0,44,64,81,115],"generates":[1,83],"code":[2,14,89,121,135,149,159],"for":[3,27,34,79,113,127,137,142,151,158],"SQL":[4,35],"processing":[5,36],"in":[6],"general-purpose":[7],"programming":[8],"languages":[9],"such":[10],"as":[11,100,102,107],"Python.":[12],"Generated":[13],"can":[15],"be":[16],"freely":[17],"customized":[18],"using":[19,122],"user-provided":[20],"natural":[21,57,108],"language":[22,58,109],"instructions.":[23],"This":[24],"enables":[25,131],"users,":[26],"instance,":[28],"to":[29,38,133],"try":[30],"out":[31],"specific":[32],"libraries":[33],"or":[37],"generate":[39],"non-standard":[40],"output":[41],"while":[42],"processing.":[43],"is":[45],"based":[46],"on":[47,88],"OpenAI's":[48],"GPT":[49,87],"model":[50,71],"series,":[51],"neural":[52],"networks":[53],"capable":[54],"of":[55,96],"translating":[56],"instructions":[59,112,157],"into":[60],"code.":[61],"By":[62],"default,":[63],"exploits":[65],"the":[66,97],"most":[67],"recently":[68],"released":[69],"GPT-4":[70],"whereas":[72],"visitors":[73],"may":[74],"also":[75],"select":[76,134],"prior":[77],"versions":[78],"comparison.":[80],"automatically":[82,116],"query-specific":[84],"prompts,":[85],"instructing":[86],"generation.":[90],"These":[91],"prompts":[92],"include":[93],"a":[94,123],"description":[95],"target":[98],"database,":[99],"well":[101],"logical":[103],"query":[104],"plans":[105],"described":[106],"text,":[110],"and":[111,118,154],"customization.":[114,160],"verifies,":[117],"possibly":[119],"re-generates,":[120],"reference":[124],"database":[125],"system":[126],"result":[128],"comparisons.":[129],"It":[130],"users":[132],"samples":[136],"training,":[138],"thereby":[139],"increasing":[140],"accuracy":[141],"future":[143],"queries.":[144],"The":[145],"proposed":[146],"demonstration":[147],"showcases":[148],"generation":[150],"various":[152],"queries":[153],"with":[155],"varying":[156]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
