{"id":"https://openalex.org/W7166653464","doi":"https://doi.org/10.48550/arxiv.2606.28601","title":"Database Context Compression for Text-to-SQL on Real-World Large Databases","display_name":"Database Context Compression for Text-to-SQL on Real-World Large Databases","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166653464","doi":"https://doi.org/10.48550/arxiv.2606.28601"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.28601","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28601","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.2606.28601","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139677016","display_name":"Jingwen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jingwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139665441","display_name":"Weibin Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liao, Weibin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103668258","display_name":"Gao X","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139649626","display_name":"Junfeng Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Junfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139694112","display_name":"Yasha Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yasha","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/T10317","display_name":"Advanced Database Systems and Queries","score":0.678600013256073,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.678600013256073,"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/T11719","display_name":"Data Quality and Management","score":0.14579999446868896,"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"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.02810000069439411,"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/database-schema","display_name":"Database schema","score":0.5406000018119812},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.45320001244544983},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4235000014305115},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.40059998631477356},{"id":"https://openalex.org/keywords/database-model","display_name":"Database model","score":0.3736000061035156},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.3695000112056732},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.3614000082015991},{"id":"https://openalex.org/keywords/database-theory","display_name":"Database theory","score":0.3377000093460083},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.32690000534057617},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.32580000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.839900016784668},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5999000072479248},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.5406000018119812},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4641000032424927},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.45320001244544983},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4235000014305115},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C5968703","wikidata":"https://www.wikidata.org/wiki/Q267136","display_name":"Database model","level":3,"score":0.3736000061035156},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3637999892234802},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.3614000082015991},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36039999127388},{"id":"https://openalex.org/C12439846","wikidata":"https://www.wikidata.org/wiki/Q4809258","display_name":"Database theory","level":3,"score":0.3377000093460083},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.32580000162124634},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C2780660560","wikidata":"https://www.wikidata.org/wiki/Q3951893","display_name":"Schema evolution","level":4,"score":0.31119999289512634},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C150670458","wikidata":"https://www.wikidata.org/wiki/Q4272815","display_name":"Data transformation","level":3,"score":0.29989999532699585},{"id":"https://openalex.org/C110903229","wikidata":"https://www.wikidata.org/wiki/Q7449064","display_name":"Semantic integration","level":4,"score":0.2930999994277954},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.26589998602867126},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2628999948501587},{"id":"https://openalex.org/C119839945","wikidata":"https://www.wikidata.org/wiki/Q6545185","display_name":"Unique identifier","level":3,"score":0.2628999948501587},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.28601","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28601","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.2606.28601","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28601","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"progress":[1],"in":[2,65],"Text-to-SQL":[3,180,235],"has":[4],"been":[5],"driven":[6],"by":[7,191,230],"stronger":[8],"language":[9],"models":[10],"and":[11,24,67,81,94,113,141,162,174,185,224],"prompting":[12],"strategies,":[13],"yet":[14],"performance":[15],"on":[16,30,92,150,203],"real":[17],"enterprise":[18],"benchmarks":[19],"such":[20],"as":[21,101],"Spider":[22,183,206],"2.0":[23],"BIRD":[25],"remains":[26],"far":[27],"below":[28],"that":[29,36,108,158],"classical":[31],"academic":[32],"datasets.":[33],"We":[34,97,120],"argue":[35],"the":[37,99,125,204],"main":[38],"bottleneck":[39],"is":[40,172,239],"no":[41],"longer":[42],"reasoning,":[43],"but":[44,89],"database":[45,102],"representation.":[46,119],"Real":[47],"databases":[48],"contain":[49],"repeated":[50,133],"audit":[51],"columns,":[52],"large":[53],"groups":[54],"of":[55,196],"similar":[56],"tables,":[57],"opaque":[58],"identifiers":[59],"whose":[60],"meanings":[61],"are":[62],"stored":[63],"only":[64],"documentation,":[66],"extensive":[68],"data":[69],"dictionaries":[70],"with":[71,124,166],"little":[72],"query-relevant":[73],"information.":[74],"Existing":[75],"query-aware":[76],"methods,":[77],"including":[78],"schema":[79,83],"linking":[80],"retrieval-based":[82],"selection,":[84],"filter":[85],"this":[86,122],"raw":[87],"context":[88,103,190],"still":[90],"operate":[91],"redundant":[93],"verbose":[95],"representations.":[96],"reformulate":[98],"problem":[100],"compression,":[104],"a":[105,117,145,155],"query-agnostic":[106],"transformation":[107,123],"rewrites":[109],"schemas,":[110],"semantic":[111,139,163],"descriptions,":[112],"external":[114],"documentation":[115],"into":[116,178],"compact":[118],"formalize":[121],"SGCF":[126],"(Support-Gain":[127],"Component":[128],"Factorization)":[129],"principle,":[130],"which":[131],"unifies":[132],"column":[134],"extraction,":[135],"isomorphic":[136],"table":[137],"templating,":[138],"componentization,":[140],"evidence":[142,169],"purification":[143],"under":[144,217,220],"single":[146],"coverage":[147],"objective.":[148],"Based":[149],"SGCF,":[151],"we":[152],"propose":[153],"DBCC,":[154],"database-side":[156],"middleware":[157],"performs":[159],"offline":[160],"structural":[161],"compression":[164],"together":[165],"lightweight":[167],"online":[168],"purification.":[170],"DBCC":[171,187],"model-agnostic":[173],"can":[175],"be":[176],"integrated":[177],"existing":[179],"pipelines.":[181],"On":[182],"2.0-Snow":[184,207],"BIRD,":[186],"reduces":[188],"input":[189],"up":[192],"to":[193,200,215],"two":[194],"orders":[195],"magnitude":[197],"(from":[198],"2.6M":[199],"34.7K":[201],"tokens":[202],"largest":[205],"subset),":[208],"improves":[209],"schema-linking":[210],"strict":[211],"recall":[212],"from":[213],"0%":[214],"56.5%":[216],"DeepSeek-V3.2":[218],"(63.1%":[219],"Claude":[221],"Opus":[222],"4.7),":[223],"consistently":[225],"increases":[226],"end-to-end":[227],"execution":[228],"accuracy":[229],"1.8-1.9%":[231],"over":[232],"three":[233],"recent":[234],"systems.":[236],"Our":[237],"code":[238],"open-sourced":[240],"at":[241],"https://github.com/MrBlankness/SchemaCompression.":[242]},"counts_by_year":[],"updated_date":"2026-07-01T06:29:00.853634","created_date":"2026-07-01T00:00:00"}
