{"id":"https://openalex.org/W7117296060","doi":"https://doi.org/10.1145/3721464.3777432","title":"In-Context Example Ordering for LLM-Based API Sequence Generation","display_name":"In-Context Example Ordering for LLM-Based API Sequence Generation","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7117296060","doi":"https://doi.org/10.1145/3721464.3777432"},"language":null,"primary_location":{"id":"doi:10.1145/3721464.3777432","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721464.3777432","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Middleware Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3721464.3777432","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121349770","display_name":"Rahul Atul Bhope","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137750","display_name":"UC Irvine Health","ror":"https://ror.org/03fgher32","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210137750"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rahul Atul Bhope","raw_affiliation_strings":["UC Irvine Irvine, USA"],"raw_orcid":"https://orcid.org/0000-0002-4155-8161","affiliations":[{"raw_affiliation_string":"UC Irvine Irvine, USA","institution_ids":["https://openalex.org/I4210137750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047726169","display_name":"Praveen Venkateswaran","orcid":"https://orcid.org/0000-0003-0042-4164"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210106712","display_name":"Alliance for Safe Kids","ror":"https://ror.org/01922pt58","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210106712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Praveen Venkateswaran","raw_affiliation_strings":["IBM Research AI Yorktown Heights, USA"],"raw_orcid":"https://orcid.org/0000-0003-0042-4164","affiliations":[{"raw_affiliation_string":"IBM Research AI Yorktown Heights, USA","institution_ids":["https://openalex.org/I4210106712","https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121362330","display_name":"K. R. Jayaram","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210106712","display_name":"Alliance for Safe Kids","ror":"https://ror.org/01922pt58","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210106712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. R. Jayaram","raw_affiliation_strings":["IBM Research AI Yorktown Heights, USA"],"raw_orcid":"https://orcid.org/0000-0001-5382-276X","affiliations":[{"raw_affiliation_string":"IBM Research AI Yorktown Heights, USA","institution_ids":["https://openalex.org/I4210106712","https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047019446","display_name":"Vatche Isahagian","orcid":"https://orcid.org/0000-0002-9573-9291"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vatche Isahagian","raw_affiliation_strings":["IBM Research AI Boston, USA"],"raw_orcid":"https://orcid.org/0000-0002-9573-9291","affiliations":[{"raw_affiliation_string":"IBM Research AI Boston, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055833498","display_name":"Vinod Muthusamy","orcid":"https://orcid.org/0000-0003-0614-2563"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210106712","display_name":"Alliance for Safe Kids","ror":"https://ror.org/01922pt58","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210106712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vinod Muthusamy","raw_affiliation_strings":["IBM Research AI Yorktown Heights, USA"],"raw_orcid":"https://orcid.org/0000-0003-0614-2563","affiliations":[{"raw_affiliation_string":"IBM Research AI Yorktown Heights, USA","institution_ids":["https://openalex.org/I4210106712","https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060176636","display_name":"Nalini Venkatasubramanian","orcid":"https://orcid.org/0000-0001-7011-2268"},"institutions":[{"id":"https://openalex.org/I4210137750","display_name":"UC Irvine Health","ror":"https://ror.org/03fgher32","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210137750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nalini Venkatasubramanian","raw_affiliation_strings":["UC Irvine Irvine, USA"],"raw_orcid":"https://orcid.org/0000-0001-7011-2268","affiliations":[{"raw_affiliation_string":"UC Irvine Irvine, USA","institution_ids":["https://openalex.org/I4210137750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5121349770"],"corresponding_institution_ids":["https://openalex.org/I4210137750"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79704115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.4422999918460846,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.4422999918460846,"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"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.06199999898672104,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.03970000147819519,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/executable","display_name":"Executable","score":0.7300999760627747},{"id":"https://openalex.org/keywords/middleware","display_name":"Middleware (distributed applications)","score":0.5823000073432922},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.49320000410079956},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.49160000681877136},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.44769999384880066},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3991999924182892},{"id":"https://openalex.org/keywords/sequence-diagram","display_name":"Sequence diagram","score":0.3790000081062317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8472999930381775},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.7300999760627747},{"id":"https://openalex.org/C169468491","wikidata":"https://www.wikidata.org/wiki/Q146923","display_name":"Middleware (distributed applications)","level":2,"score":0.5823000073432922},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.49320000410079956},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.49160000681877136},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.46140000224113464},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.44769999384880066},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3903000056743622},{"id":"https://openalex.org/C153185123","wikidata":"https://www.wikidata.org/wiki/Q1391624","display_name":"Sequence diagram","level":4,"score":0.3790000081062317},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3564000129699707},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3009999990463257},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C99613125","wikidata":"https://www.wikidata.org/wiki/Q165194","display_name":"Application programming interface","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3721464.3777432","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721464.3777432","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Middleware Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3721464.3777432","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721464.3777432","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Middleware Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G34307037","display_name":null,"funder_award_id":"2133391, 2420846","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W3122241445","https://openalex.org/W4385567149","https://openalex.org/W4399534541","https://openalex.org/W4416034460"],"related_works":[],"abstract_inverted_index":{"We":[0],"demonstrate":[1],"OptiSeq":[2,97],"[1],":[3],"an":[4,92],"edge-cloud":[5,163],"middleware":[6,101,156],"system":[7],"that":[8,30,43,135],"converts":[9],"natural":[10,79],"language":[11,32,80],"queries":[12,81],"into":[13],"executable":[14],"API":[15,38,112,118,130],"sequences":[16],"with":[17],"high":[18,146],"reliability":[19],"in":[20,26],"distributed":[21,76,117],"environments.":[22],"A":[23],"central":[24],"challenge":[25],"such":[27],"systems":[28],"is":[29],"large":[31],"models":[33],"(LLMs)":[34],"can":[35],"generate":[36],"incorrect":[37],"sequences,":[39,113],"causing":[40],"costly":[41],"retries":[42],"consume":[44],"edge":[45],"bandwidth":[46],"and":[47,114],"add":[48],"cloud":[49],"latency.":[50],"Our":[51],"demonstration":[52,153],"shows":[53],"how":[54],"OptiSeq,":[55],"a":[56,108,116],"lightweight":[57],"inference-time":[58],"example-ordering":[59],"optimization":[60],"engine,":[61],"reduces":[62,138],"these":[63],"failures":[64],"by":[65,141],"intelligently":[66],"arranging":[67],"in-context":[68],"examples":[69,88],"before":[70],"prompting":[71,137],"the":[72,84,100,123,151],"LLM.":[73],"In":[74],"our":[75],"architecture,":[77],"(1)":[78],"originate":[82],"at":[83],"edge,":[85],"(2)":[86],"relevant":[87],"are":[89],"retrieved":[90],"from":[91],"edge-hosted":[93],"vector":[94],"store,":[95],"(3)":[96],"runs":[98],"within":[99],"pipeline":[102],"to":[103],"optimize":[104],"prompt":[105],"construction,":[106],"(4)":[107],"cloud-hosted":[109],"LLM":[110],"generates":[111],"(5)":[115],"execution":[119],"layer":[120],"carries":[121],"out":[122],"calls.":[124],"Through":[125],"live":[126],"demonstrations":[127],"on":[128],"real-world":[129],"sequencing":[131],"tasks,":[132],"we":[133],"show":[134],"OptiSeq-guided":[136],"retry":[139],"attempts":[140],"35-45":[142],"%":[143],"while":[144],"maintaining":[145],"accuracy.":[147],"This":[148],"work":[149],"presents":[150],"first":[152],"of":[154],"ordering-aware":[155],"for":[157],"natural-language-to-API":[158],"sequence":[159],"generation":[160],"deployed":[161],"across":[162],"systems.":[164]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-12-26T00:00:00"}