{"id":"https://openalex.org/W4391032878","doi":"https://doi.org/10.1007/s41019-023-00235-6","title":"DB-GPT: Large Language Model Meets Database","display_name":"DB-GPT: Large Language Model Meets Database","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4391032878","doi":"https://doi.org/10.1007/s41019-023-00235-6"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-023-00235-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-023-00235-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00235-6.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00235-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056912386","display_name":"Xuanhe Zhou","orcid":"https://orcid.org/0000-0002-2285-7836"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanhe Zhou","raw_affiliation_strings":["Department of Computer Science, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053352268","display_name":"Zhaoyan Sun","orcid":"https://orcid.org/0009-0000-2688-4981"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyan Sun","raw_affiliation_strings":["Department of Computer Science, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451576","display_name":"Guoliang Li","orcid":"https://orcid.org/0000-0002-1398-0621"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoliang Li","raw_affiliation_strings":["Department of Computer Science, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1398-0621","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100451576"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":1290,"currency":"USD","value_usd":1290},"apc_paid":{"value":1290,"currency":"USD","value_usd":1290},"fwci":16.9618,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":{"value":0.99375018,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"9","issue":"1","first_page":"102","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9983000159263611,"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/T11719","display_name":"Data Quality and Management","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.796147346496582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7641844749450684},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.4573473632335663},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.4396364688873291}],"concepts":[{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.796147346496582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641844749450684},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.4573473632335663},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.4396364688873291}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41019-023-00235-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-023-00235-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00235-6.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:32c7a80d621a4ff09ae051d9bf574355","is_oa":true,"landing_page_url":"https://doaj.org/article/32c7a80d621a4ff09ae051d9bf574355","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 9, Iss 1, Pp 102-111 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-023-00235-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-023-00235-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00235-6.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5725260554","display_name":null,"funder_award_id":"62232009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7169141996","display_name":null,"funder_award_id":"62102215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G831406350","display_name":null,"funder_award_id":"61925205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329777","display_name":"Beijing National Research Center For Information Science And Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391032878.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2154137718","https://openalex.org/W2953356739","https://openalex.org/W2962771342","https://openalex.org/W2990138404","https://openalex.org/W2991530444","https://openalex.org/W3011574394","https://openalex.org/W3025775630","https://openalex.org/W3034368386","https://openalex.org/W3037027022","https://openalex.org/W3088409176","https://openalex.org/W3095319910","https://openalex.org/W3097225903","https://openalex.org/W3108032709","https://openalex.org/W3124277639","https://openalex.org/W3138154797","https://openalex.org/W3152893301","https://openalex.org/W3173850788","https://openalex.org/W3174969457","https://openalex.org/W3180608480","https://openalex.org/W3185341429","https://openalex.org/W3187134297","https://openalex.org/W3207553988","https://openalex.org/W4221145545","https://openalex.org/W4281972940","https://openalex.org/W4285129823","https://openalex.org/W4287891464","https://openalex.org/W4312537169","https://openalex.org/W4385571260","https://openalex.org/W4385571445","https://openalex.org/W4385571789","https://openalex.org/W4385573504","https://openalex.org/W4389520103","https://openalex.org/W6600388300","https://openalex.org/W6600474023","https://openalex.org/W6600577311","https://openalex.org/W6604662147","https://openalex.org/W6675775337","https://openalex.org/W6727875242","https://openalex.org/W6826116265"],"related_works":["https://openalex.org/W584886505","https://openalex.org/W2366660644","https://openalex.org/W4320802139","https://openalex.org/W3184093474","https://openalex.org/W2371449207","https://openalex.org/W3162115094","https://openalex.org/W1568401719","https://openalex.org/W2188578519","https://openalex.org/W3130673957","https://openalex.org/W630074038"],"abstract_inverted_index":{"Abstract":[0],"Large":[1],"language":[2],"models":[3],"(LLMs)":[4],"have":[5,14],"shown":[6],"superior":[7],"performance":[8,160],"in":[9,161],"various":[10],"areas.":[11],"And":[12],"LLMs":[13,37,56,64,89,98,122],"the":[15,24,59,67],"potential":[16],"to":[17,38,45,54,57,87,90,119],"revolutionize":[18],"data":[19,82],"management":[20],"by":[21],"serving":[22],"as":[23],"\"brain\"":[25],"of":[26,78],"next-generation":[27],"database":[28,60,69,125,137,162],"systems.":[29],"However,":[30],"there":[31],"are":[32,75,99,175],"several":[33],"challenges":[34],"that":[35,156],"utilize":[36],"optimize":[39],"databases.":[40],"First,":[41],"it":[42,85,116],"is":[43,117],"challenging":[44,118],"provide":[46],"appropriate":[47],"prompts":[48],"(e.g.,":[49,71,81,108],"instructions":[50],"and":[51,84,94,112,115,147,151,167,173],"demonstration":[52],"examples)":[53],"enable":[55],"understand":[58],"optimization":[61],"problems.":[62],"Second,":[63],"only":[65],"capture":[66,91],"logical":[68,95],"characters":[70,80],"SQL":[72],"semantics)":[73],"but":[74],"not":[76,100],"aware":[77],"physical":[79,93],"distributions),":[83],"requires":[86],"fine-tune":[88],"both":[92],"information.":[96],"Third,":[97],"well":[101],"trained":[102],"for":[103],"databases":[104],"with":[105],"strict":[106],"constraints":[107],"query":[109,165],"plan":[110],"equivalence)":[111],"privacy-preserving":[113],"requirements,":[114],"train":[120],"database-specific":[121],"while":[123],"ensuring":[124],"privacy.":[126],"To":[127],"overcome":[128],"these":[129],"challenges,":[130],"this":[131],"vision":[132],"paper":[133],"proposes":[134],"a":[135],"LLM-based":[136],"framework":[138],"(),":[139],"including":[140],"automatic":[141],"prompt":[142],"generation,":[143],"DB-specific":[144,148],"model":[145,149],"fine-tuning,":[146],"design":[150],"pre-training.":[152],"Preliminary":[153],"experiments":[154],"show":[155],"achieves":[157],"relatively":[158],"good":[159],"tasks":[163],"like":[164],"rewrite":[166],"index":[168],"tuning.":[169],"The":[170],"source":[171],"code":[172],"datasets":[174],"available":[176],"at":[177],"github.com/TsinghuaDatabaseGroup/DB-GPT.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":15}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}