{"id":"https://openalex.org/W7163433859","doi":"https://doi.org/10.48550/arxiv.2606.03363","title":"EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge","display_name":"EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge","publication_year":2026,"publication_date":"2026-06-02","ids":{"openalex":"https://openalex.org/W7163433859","doi":"https://doi.org/10.48550/arxiv.2606.03363"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.03363","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03363","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.03363","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134192575","display_name":"Chengxi Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liao, Chengxi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137779447","display_name":"Tao Xu","orcid":"https://orcid.org/0000-0003-3899-1500"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137722891","display_name":"Zulong Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zulong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101155034","display_name":"Chuanfei Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Chuanfei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137800604","display_name":"Yiyan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yiyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137784001","display_name":"Xinyun Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xinyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137743834","display_name":"Yanlong Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yanlong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137729290","display_name":"Xiaojun Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xiaojun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137782313","display_name":"Zhibo Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Zhibo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137804730","display_name":"Zeyi Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Zeyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T10181","display_name":"Natural Language Processing Techniques","score":0.24809999763965607,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.24809999763965607,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.1800999939441681,"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/T12377","display_name":"Digital Humanities and Scholarship","score":0.04830000177025795,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6019999980926514},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5889999866485596},{"id":"https://openalex.org/keywords/business-rule","display_name":"Business rule","score":0.4049000144004822},{"id":"https://openalex.org/keywords/enterprise-information-system","display_name":"Enterprise information system","score":0.4032999873161316},{"id":"https://openalex.org/keywords/enterprise-software","display_name":"Enterprise software","score":0.4009000062942505},{"id":"https://openalex.org/keywords/business-domain","display_name":"Business domain","score":0.3953999876976013},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.34940001368522644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182999849319458},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6019999980926514},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5889999866485596},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.43950000405311584},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.43160000443458557},{"id":"https://openalex.org/C11066294","wikidata":"https://www.wikidata.org/wiki/Q1518244","display_name":"Business rule","level":4,"score":0.4049000144004822},{"id":"https://openalex.org/C27295321","wikidata":"https://www.wikidata.org/wiki/Q831795","display_name":"Enterprise information system","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C185765463","wikidata":"https://www.wikidata.org/wiki/Q1318054","display_name":"Enterprise software","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C193669473","wikidata":"https://www.wikidata.org/wiki/Q5001867","display_name":"Business domain","level":5,"score":0.3953999876976013},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C53996427","wikidata":"https://www.wikidata.org/wiki/Q5380387","display_name":"Enterprise integration","level":3,"score":0.34630000591278076},{"id":"https://openalex.org/C10590034","wikidata":"https://www.wikidata.org/wiki/Q1048431","display_name":"Enterprise architecture","level":3,"score":0.34549999237060547},{"id":"https://openalex.org/C138824270","wikidata":"https://www.wikidata.org/wiki/Q3318162","display_name":"Enterprise modelling","level":4,"score":0.3278000056743622},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.320499986410141},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2962999939918518},{"id":"https://openalex.org/C146342590","wikidata":"https://www.wikidata.org/wiki/Q11606385","display_name":"Enterprise systems engineering","level":4,"score":0.29440000653266907},{"id":"https://openalex.org/C67571701","wikidata":"https://www.wikidata.org/wiki/Q1318054","display_name":"Enterprise system","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2644999921321869}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.03363","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03363","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.03363","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03363","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":"Preprint"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.43591663241386414,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Text-to-SQL":[0,58],"enables":[1],"natural":[2],"language":[3],"access":[4],"to":[5],"databases,":[6,27],"and":[7,21,28,50,88,90],"recent":[8],"LLMs":[9],"have":[10],"substantially":[11],"advanced":[12],"its":[13],"capabilities.":[14],"Existing":[15],"benchmarks":[16],"such":[17,44],"as":[18,45],"Spider,":[19],"BIRD,":[20],"Spider~2.0":[22],"evaluate":[23],"schema":[24,89],"generalization,":[25],"large-scale":[26],"realistic":[29],"workflows,":[30],"but":[31],"largely":[32],"overlook":[33],"enterprise":[34,118],"scenarios":[35],"where":[36],"SQL":[37,93,115],"generation":[38,116],"depends":[39],"on":[40],"private":[41],"business":[42,66,77],"knowledge,":[43],"internal":[46],"metrics,":[47],"reporting":[48],"conventions,":[49],"organizational":[51],"rules.":[52],"We":[53],"introduce":[54],"EntSQL,":[55],"an":[56],"enterprise-oriented":[57],"benchmark":[59],"for":[60],"evaluating":[61],"long-context":[62],"grounding":[63,114],"over":[64],"proprietary":[65],"documents.":[67],"EntSQL":[68],"contains":[69],"1,066":[70],"aligned":[71],"Chinese-English":[72],"semantic":[73],"examples":[74,81],"across":[75],"five":[76],"domains,":[78],"with":[79],"most":[80],"requiring":[82],"domain":[83],"knowledge":[84],"beyond":[85],"the":[86,98,111],"question":[87],"involving":[91],"complex":[92],"structures.":[94],"On":[95],"English":[96],"inputs,":[97],"best":[99],"evaluated":[100],"system":[101],"reaches":[102],"only":[103],"15.9\\%":[104],"when":[105],"long-form":[106],"documents":[107],"are":[108],"provided,":[109],"highlighting":[110],"difficulty":[112],"of":[113],"in":[117],"knowledge.":[119]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-04T00:00:00"}
