{"id":"https://openalex.org/W7130587450","doi":"https://doi.org/10.1109/fllm67465.2025.11390878","title":"ScaleCall Agentic Tool Calling at Scale for Fintech: Challenges, Methods, and Deployment Insights","display_name":"ScaleCall Agentic Tool Calling at Scale for Fintech: Challenges, Methods, and Deployment Insights","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W7130587450","doi":"https://doi.org/10.1109/fllm67465.2025.11390878"},"language":null,"primary_location":{"id":"doi:10.1109/fllm67465.2025.11390878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fllm67465.2025.11390878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 3rd International Conference on Foundation and Large Language Models (FLLM)","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/A5120658481","display_name":"Richard Osuagwu","orcid":null},"institutions":[{"id":"https://openalex.org/I157286207","display_name":"National University of Ireland, Maynooth","ror":"https://ror.org/048nfjm95","country_code":"IE","type":"education","lineage":["https://openalex.org/I157286207"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Richard Osuagwu","raw_affiliation_strings":["Maynooth University,Ireland"],"affiliations":[{"raw_affiliation_string":"Maynooth University,Ireland","institution_ids":["https://openalex.org/I157286207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084921800","display_name":"Thomas R. Cook","orcid":"https://orcid.org/0000-0001-8048-5949"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Thomas Cook","raw_affiliation_strings":["TU Dublin,Dublin,Ireland"],"affiliations":[{"raw_affiliation_string":"TU Dublin,Dublin,Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Maraim Masoud","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126839","display_name":"Mastercard (United States)","ror":"https://ror.org/043cxr310","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126839"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maraim Masoud","raw_affiliation_strings":["Mastercard,Ireland"],"affiliations":[{"raw_affiliation_string":"Mastercard,Ireland","institution_ids":["https://openalex.org/I4210126839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126412802","display_name":"Koustav Ghosal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126839","display_name":"Mastercard (United States)","ror":"https://ror.org/043cxr310","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126839"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Koustav Ghosal","raw_affiliation_strings":["Mastercard,Ireland"],"affiliations":[{"raw_affiliation_string":"Mastercard,Ireland","institution_ids":["https://openalex.org/I4210126839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126442021","display_name":"Riccardo Mattivi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126839","display_name":"Mastercard (United States)","ror":"https://ror.org/043cxr310","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126839"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Riccardo Mattivi","raw_affiliation_strings":["Mastercard,Ireland"],"affiliations":[{"raw_affiliation_string":"Mastercard,Ireland","institution_ids":["https://openalex.org/I4210126839"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5120658481"],"corresponding_institution_ids":["https://openalex.org/I157286207"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78772037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.1543000042438507,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.1543000042438507,"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"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.08829999715089798,"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"}},{"id":"https://openalex.org/T13197","display_name":"Spreadsheets and End-User Computing","score":0.08100000023841858,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/software-deployment","display_name":"Software deployment","score":0.766700029373169},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4138000011444092},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.39309999346733093},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.3278000056743622},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.3260999917984009},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.29919999837875366}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.766700029373169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587000131607056},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4788999855518341},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4239000082015991},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4138000011444092},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.33379998803138733},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C53996427","wikidata":"https://www.wikidata.org/wiki/Q5380387","display_name":"Enterprise integration","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fllm67465.2025.11390878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fllm67465.2025.11390878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 3rd International Conference on Foundation and Large Language Models (FLLM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5268006920814514,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W4401857375","https://openalex.org/W4404784082","https://openalex.org/W4409160206","https://openalex.org/W4412944602"],"related_works":[],"abstract_inverted_index":{"While":[0],"Large":[1],"Language":[2],"Models":[3],"(LLMs)":[4],"excel":[5],"at":[6],"tool-calling,":[7],"deploying":[8],"these":[9],"capabilities":[10],"in":[11,131,149,180],"regulated":[12,151,181],"enterprise":[13,49,178],"environments":[14,50],"like":[15],"fintech":[16],"presents":[17],"unique":[18],"challenges":[19],"due":[20],"to":[21,30,170],"on-premises":[22],"constraints,":[23],"regulatory":[24],"compliance":[25],"requirements,":[26,168],"and":[27,54,69,82,142,166],"the":[28,52,144,159,171],"need":[29],"disambiguate":[31],"large,":[32],"functionally":[33],"overlapping":[34,124],"toolsets.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,105],"present":[40],"a":[41,58],"comprehensive":[42],"study":[43],"of":[44,56,173],"tool":[45,115],"retrieval":[46,162],"methods":[47,109],"for":[48,65,113,123,177],"through":[51,146],"development":[53],"deployment":[55,148],"ScaleCall,":[57],"prototype":[59],"tool-calling":[60,174],"framework":[61,145],"within":[62],"Mastercard":[63],"designed":[64],"orchestrating":[66],"internal":[67],"APIs":[68],"automating":[70],"data":[71],"engineering":[72],"workflows.":[73],"We":[74,134],"systematically":[75],"evaluate":[76],"embedding-based":[77,108],"retrieval,":[78],"prompt-based":[79],"listwise":[80,118],"ranking,":[81],"hybrid":[83,127],"approaches,":[84],"revealing":[85],"that":[86,107],"method":[87],"effectiveness":[88],"depends":[89],"heavily":[90],"on":[91,102],"domain-specific":[92],"factors":[93],"rather":[94],"than":[95],"inherent":[96],"algorithmic":[97],"superiority.":[98],"Through":[99],"empirical":[100],"investigation":[101],"enterprise-derived":[103],"benchmarks,":[104],"find":[106],"offer":[110],"superior":[111],"latency":[112],"large":[114],"repositories,":[116],"while":[117],"ranking":[119],"provides":[120,155],"better":[121],"disambiguation":[122],"functionalities,":[125],"with":[126],"approaches":[128],"showing":[129],"promise":[130],"specific":[132],"contexts.":[133],"integrate":[135],"our":[136],"findings":[137],"into":[138,158],"ScaleCall\u2019s":[139],"flexible":[140],"architecture":[141],"validate":[143],"real-world":[147],"Mastercard\u2019s":[150],"environment.":[152],"Our":[153],"work":[154],"practical":[156],"insights":[157],"trade-offs":[160],"between":[161],"accuracy,":[163],"computational":[164],"efficiency,":[165],"operational":[167],"contributing":[169],"understanding":[172],"system":[175],"design":[176],"applications":[179],"industries.":[182]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2026-02-20T00:00:00"}
