{"id":"https://openalex.org/W7152396021","doi":"https://doi.org/10.1109/icecet63943.2025.11472416","title":"Automating Insurance Claims Processing: Finetuning Tiny Language Model through QLoRA","display_name":"Automating Insurance Claims Processing: Finetuning Tiny Language Model through QLoRA","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W7152396021","doi":"https://doi.org/10.1109/icecet63943.2025.11472416"},"language":null,"primary_location":{"id":"doi:10.1109/icecet63943.2025.11472416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133287145","display_name":"Om Gholap","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100254","display_name":"Clinical Insights","ror":"https://ror.org/0168sna55","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210100254"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Om Gholap","raw_affiliation_strings":["Genpact,Data Science & Insights,Banglore,India"],"affiliations":[{"raw_affiliation_string":"Genpact,Data Science & Insights,Banglore,India","institution_ids":["https://openalex.org/I4210100254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102833586","display_name":"Vipul Sharma","orcid":"https://orcid.org/0000-0002-8515-6703"},"institutions":[{"id":"https://openalex.org/I4210100254","display_name":"Clinical Insights","ror":"https://ror.org/0168sna55","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210100254"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vipul Sharma","raw_affiliation_strings":["Genpact,Data Science & Insights,Banglore,India"],"affiliations":[{"raw_affiliation_string":"Genpact,Data Science & Insights,Banglore,India","institution_ids":["https://openalex.org/I4210100254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133296551","display_name":"Ishika Shruti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100254","display_name":"Clinical Insights","ror":"https://ror.org/0168sna55","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210100254"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ishika Shruti","raw_affiliation_strings":["Genpact,Data Science & Insights,Banglore,India"],"affiliations":[{"raw_affiliation_string":"Genpact,Data Science & Insights,Banglore,India","institution_ids":["https://openalex.org/I4210100254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133258054","display_name":"Subhadip Mandal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100254","display_name":"Clinical Insights","ror":"https://ror.org/0168sna55","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210100254"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Subhadip Mandal","raw_affiliation_strings":["Genpact,Data Science & Insights,Banglore,India"],"affiliations":[{"raw_affiliation_string":"Genpact,Data Science & Insights,Banglore,India","institution_ids":["https://openalex.org/I4210100254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028903514","display_name":"Chinmay Prakash","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100254","display_name":"Clinical Insights","ror":"https://ror.org/0168sna55","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210100254"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chinmay Prakash","raw_affiliation_strings":["Genpact,Data Science & Insights,Banglore,India"],"affiliations":[{"raw_affiliation_string":"Genpact,Data Science & Insights,Banglore,India","institution_ids":["https://openalex.org/I4210100254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122319893","display_name":"Divyanshi Yadav","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100254","display_name":"Clinical Insights","ror":"https://ror.org/0168sna55","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210100254"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Divyanshi Yadav","raw_affiliation_strings":["Genpact,Data Science & Insights,Banglore,India"],"affiliations":[{"raw_affiliation_string":"Genpact,Data Science & Insights,Banglore,India","institution_ids":["https://openalex.org/I4210100254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093760443","display_name":"Hitesh Para","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100254","display_name":"Clinical Insights","ror":"https://ror.org/0168sna55","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210100254"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hitesh Para","raw_affiliation_strings":["Genpact,Data Science & Insights,Banglore,India"],"affiliations":[{"raw_affiliation_string":"Genpact,Data Science & Insights,Banglore,India","institution_ids":["https://openalex.org/I4210100254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133271519","display_name":"Vijay Mudivedu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100254","display_name":"Clinical Insights","ror":"https://ror.org/0168sna55","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210100254"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Mudivedu","raw_affiliation_strings":["Genpact,Data Science & Insights,Banglore,India"],"affiliations":[{"raw_affiliation_string":"Genpact,Data Science & Insights,Banglore,India","institution_ids":["https://openalex.org/I4210100254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108997750","display_name":"Prakash Selvakumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100254","display_name":"Clinical Insights","ror":"https://ror.org/0168sna55","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210100254"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prakash Selvakumar","raw_affiliation_strings":["Genpact,Data Science & Insights,Banglore,India"],"affiliations":[{"raw_affiliation_string":"Genpact,Data Science & Insights,Banglore,India","institution_ids":["https://openalex.org/I4210100254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5133287145"],"corresponding_institution_ids":["https://openalex.org/I4210100254"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93521598,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.13699999451637268,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.13699999451637268,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"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/T13191","display_name":"Dispute Resolution and Class Actions","score":0.03880000114440918,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.025100000202655792,"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/language-model","display_name":"Language model","score":0.3111000061035156},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.29100000858306885},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.27140000462532043},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.2614000141620636},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.25929999351501465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5819000005722046},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3569999933242798},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3138999938964844},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3111000061035156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29910001158714294},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.24740000069141388}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet63943.2025.11472416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6125035881996155}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W7133233472"],"related_works":[],"abstract_inverted_index":{"Claims":[0],"processing":[1,57],"remains":[2],"one":[3],"of":[4,85,95,102],"the":[5,21,36,83,92,100,108,136,152,175],"most":[6],"important":[7],"business":[8],"processes":[9],"in":[10,165,170],"an":[11,39],"insurance":[12,58],"company":[13],"as":[14],"it":[15],"has":[16],"a":[17,52,63,71,141],"great":[18],"influence":[19],"on":[20],"customer":[22],"experience.":[23],"However,":[24],"these":[25],"methods":[26],"are":[27],"often":[28],"labor-intensive":[29],"and":[30,41,107,114,132,158,168,184],"prone":[31],"to":[32,50,66,81,162],"inconsistencies":[33],"which":[34],"makes":[35],"case":[37],"for":[38,56,129],"automated":[40,93],"more":[42],"efficient":[43],"system":[44],"very":[45],"strong.":[46],"The":[47,89,119],"aim":[48],"is":[49],"provide":[51],"low-cost":[53],"automation":[54],"solution":[55],"claims.":[59],"This":[60,150],"study":[61],"presents":[62],"new":[64],"approach":[65],"claims":[67,86],"handling":[68,87],"by":[69,75],"proposing":[70],"data-based":[72],"framework":[73,120,176],"powered":[74],"Generative":[76],"AI":[77,179],"(GenAI)":[78],"that":[79],"aims":[80],"improve":[82],"efficiency":[84,131],"processes.":[88],"proposal":[90],"includes":[91],"transformation":[94],"email":[96],"into":[97],"structured":[98],"JSON,":[99],"extraction":[101,167],"relevant":[103],"entities":[104],"from":[105],"claims,":[106],"automatic":[109],"verdict":[110,171],"generation":[111],"with":[112],"(approvals/rejections)":[113],"comprehensive,":[115],"understandable":[116],"justification":[117],"remarks.":[118],"uses":[121],"Phi-3.5,":[122],"optimized":[123],"through":[124],"Quantized":[125],"Low-Rank":[126],"Adaptation":[127],"(QLoRA),":[128],"computational":[130],"scalability.":[133],"To":[134],"train":[135],"model":[137,153],"effectively,":[138],"we":[139],"generated":[140],"synthetic":[142],"dataset":[143],"using":[144],"multiple":[145],"large":[146],"language":[147],"models":[148],"(LLMs).":[149],"helped":[151],"understand":[154],"different":[155],"writing":[156],"styles":[157],"real-world":[159],"variations,":[160],"leading":[161],"98%":[163],"accuracy":[164],"entity":[166],"99.63%":[169],"generation.":[172],"Beyond":[173],"accuracy,":[174],"follows":[177],"Responsible":[178],"(RAI)":[180],"principles,":[181],"ensuring":[182],"fair":[183],"transparent":[185],"decision-making":[186],"while":[187],"reducing":[188],"financial":[189],"risks.":[190]},"counts_by_year":[],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2026-04-10T00:00:00"}