{"id":"https://openalex.org/W7127085312","doi":"https://doi.org/10.48550/arxiv.2601.22916","title":"LLMDR: Large language model driven framework for missing data recovery in mixed data under low resource regime","display_name":"LLMDR: Large language model driven framework for missing data recovery in mixed data under low resource regime","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7127085312","doi":"https://doi.org/10.48550/arxiv.2601.22916"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2601.22916","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124856607","display_name":"Durga Keshav","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keshav, Durga","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124836397","display_name":"GVD Praneeth","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Praneeth, GVD","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124853240","display_name":"Chetan Kumar Patruni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patruni, Chetan Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124834300","display_name":"Vivek Yelleti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yelleti, Vivek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124834066","display_name":"U Sai Ram","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ram, U Sai","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":0.7152000069618225,"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":0.7152000069618225,"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/T11539","display_name":"Survey Methodology and Nonresponse","score":0.0272000003606081,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.023600000888109207,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/missing-data","display_name":"Missing data","score":0.8478999733924866},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7056999802589417},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5745999813079834},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4332999885082245},{"id":"https://openalex.org/keywords/data-recovery","display_name":"Data recovery","score":0.366100013256073},{"id":"https://openalex.org/keywords/extant-taxon","display_name":"Extant taxon","score":0.3610000014305115},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.34630000591278076}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8478999733924866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7120000123977661},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7056999802589417},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6689000129699707},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5745999813079834},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4332999885082245},{"id":"https://openalex.org/C529754248","wikidata":"https://www.wikidata.org/wiki/Q1054772","display_name":"Data recovery","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C178300618","wikidata":"https://www.wikidata.org/wiki/Q1898509","display_name":"Extant taxon","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.34630000591278076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3138999938964844},{"id":"https://openalex.org/C100463513","wikidata":"https://www.wikidata.org/wiki/Q5227322","display_name":"Data model (GIS)","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C16012445","wikidata":"https://www.wikidata.org/wiki/Q1501135","display_name":"Mixed model","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.29100000858306885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2851000130176544},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.26159998774528503}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2601.22916","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2601.22916","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.22916","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2601.22916","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4183860123157501}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"missing":[1],"data":[2,14,23,65,96],"problem":[3],"is":[4,27,36,80],"one":[5],"of":[6,122,142,155],"the":[7,39,75,84,90,99,109,153,156],"important":[8],"issues":[9],"to":[10,21,29,47,82],"address":[11],"for":[12,95,112,159],"achieving":[13],"quality.":[15],"While":[16],"imputation-based":[17],"methods":[18],"are":[19,93],"designed":[20],"achieve":[22],"completeness,":[24],"their":[25],"efficacy":[26],"observed":[28],"be":[30],"diminishing":[31],"as":[32],"and":[33,88,101,124,146],"when":[34],"there":[35],"increasing":[37],"in":[38,70,89,140,162],"missingness":[40],"percentage.":[41],"Further,":[42,148],"extant":[43],"approaches":[44],"often":[45],"struggle":[46],"handle":[48],"mixed-type":[49,163],"datasets,":[50],"typically":[51],"supporting":[52],"either":[53],"numerical":[54],"and/or":[55],"categorical":[56],"data.":[57,164],"In":[58],"this":[59,106],"work,":[60],"we":[61,149],"propose":[62],"LLMDR,":[63],"automatic":[64],"recovery":[66,97],"framework":[67,107,133],"which":[68],"operates":[69],"two":[71],"stage":[72],"approach,":[73],"wherein":[74],"Stage-I:":[76],"DBSCAN":[77],"clustering":[78],"algorithm":[79,111],"employed":[81,94],"select":[83],"most":[85],"representative":[86,103],"samples":[87],"Stage-II:":[91],"Multi-LLMs":[92],"considering":[98],"local":[100,123],"global":[102,125],"samples;":[104],"Later,":[105],"invokes":[108],"consensus":[110,157],"recommending":[113],"a":[114],"more":[115],"accurate":[116],"value":[117],"based":[118],"on":[119,136],"other":[120],"LLMs":[121],"effective":[126],"samples.":[127],"Experimental":[128],"results":[129],"demonstrate":[130],"that":[131],"proposed":[132],"works":[134],"effectively":[135],"various":[137],"mixed":[138],"datasets":[139],"terms":[141],"Accuracy,":[143],"KS-Statistic,":[144],"SMAPE,":[145],"MSE.":[147],"have":[150],"also":[151],"shown":[152],"advantage":[154],"mechanism":[158],"final":[160],"recommendation":[161]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-03T00:00:00"}
