{"id":"https://openalex.org/W7161835281","doi":"https://doi.org/10.48550/arxiv.2605.18766","title":"Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method","display_name":"Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7161835281","doi":"https://doi.org/10.48550/arxiv.2605.18766"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.18766","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18766","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.18766","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136541234","display_name":"Taehee Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Taehee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136571936","display_name":"Seungbin Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Seungbin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136596839","display_name":"Jihwan Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Jihwan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5047912015","display_name":"Jaegul Choo","orcid":"https://orcid.org/0000-0003-1071-4835"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choo, Jaegul","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/T11719","display_name":"Data Quality and Management","score":0.8432000279426575,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.8432000279426575,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.03590000048279762,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.014299999922513962,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/table","display_name":"Table (database)","score":0.6672999858856201},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5343000292778015},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.3977000117301941},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.3919999897480011},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.3666999936103821},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.3653999865055084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360000252723694},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6672999858856201},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6086999773979187},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5343000292778015},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4496000111103058},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.3977000117301941},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.3666999936103821},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3653999865055084},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.18766","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18766","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.18766","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18766","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5499128103256226}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Retrieving":[0],"relevant":[1],"tables":[2,33,46,62,103,122],"from":[3],"extensive":[4],"databases":[5],"for":[6,14],"a":[7,28,57,125,132],"given":[8],"natural":[9],"language":[10],"query":[11,66],"is":[12],"essential":[13],"accurately":[15],"answering":[16],"questions":[17],"in":[18,54,159],"tasks":[19],"such":[20],"as":[21],"text-to-SQL.":[22],"Existing":[23],"table":[24,95,134],"retrieval":[25,96,155,160],"approaches":[26],"select":[27],"pre-determined":[29],"set":[30],"of":[31,44,60,64,102,109,152],"k":[32],"with":[34],"the":[35,39,42,65,100,107,150,153],"highest":[36],"similarity":[37],"to":[38,74,106,119,129],"query.":[40,111],"However,":[41],"number":[43,59,101],"required":[45],"varies":[47],"across":[48],"queries":[49],"and":[50,123,141,161,166],"cannot":[51],"be":[52],"known":[53],"advance.":[55],"Enforcing":[56],"fixed":[58],"retrieved":[61,104],"regardless":[63],"may":[67],"either":[68],"retrieve":[69,80,121],"an":[70,81,93,115],"undersized":[71],"set,":[72],"failing":[73],"obtain":[75],"all":[76],"necessary":[77],"evidence,":[78],"or":[79],"oversized":[82],"pool,":[83],"including":[84],"irrelevant":[85],"tables.":[86],"To":[87],"address":[88],"this":[89],"issue,":[90],"we":[91,113],"propose":[92],"adaptive":[94,116],"method":[97,147],"that":[98,145],"adjusts":[99],"according":[105],"requirements":[108],"each":[110],"Specifically,":[112],"utilize":[114],"thresholding":[117],"mechanism":[118],"selectively":[120],"integrate":[124],"sliding-window":[126],"reranking":[127],"algorithm":[128],"efficiently":[130],"process":[131],"large":[133],"corpus.":[135],"Extensive":[136],"experiments":[137],"on":[138],"Spider,":[139],"BIRD,":[140],"Spider":[142],"2.0":[143],"demonstrate":[144],"our":[146],"effectively":[148],"addresses":[149],"limitations":[151],"top-k":[154],"strategy,":[156],"improving":[157],"performance":[158],"downstream":[162],"tasks.":[163],"Our":[164],"code":[165],"data":[167],"are":[168],"available":[169],"at":[170],"https://github.com/sbY99/Adaptive-Table-Retrieval.":[171]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-21T00:00:00"}