{"id":"https://openalex.org/W4388787817","doi":"https://doi.org/10.48550/arxiv.2311.09635","title":"Evaluating In-Context Learning of Libraries for Code Generation","display_name":"Evaluating In-Context Learning of Libraries for Code Generation","publication_year":2023,"publication_date":"2023-11-16","ids":{"openalex":"https://openalex.org/W4388787817","doi":"https://doi.org/10.48550/arxiv.2311.09635"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2311.09635","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.09635","pdf_url":"https://arxiv.org/pdf/2311.09635","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.09635","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015473787","display_name":"Arkil Patel","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Patel, Arkil","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102886212","display_name":"Siva Reddy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reddy, Siva","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010465328","display_name":"Dzmitry Bahdanau","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bahdanau, Dzmitry","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029074038","display_name":"Pradeep Dasigi","orcid":"https://orcid.org/0000-0001-7127-1316"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dasigi, Pradeep","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015473787"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10028","display_name":"Topic Modeling","score":0.9911999702453613,"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/T10028","display_name":"Topic Modeling","score":0.9911999702453613,"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/T10260","display_name":"Software Engineering Research","score":0.987500011920929,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9742000102996826,"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/computer-science","display_name":"Computer science","score":0.6254327297210693},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6142669916152954},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5648517608642578},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.5177106857299805},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.48995843529701233},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.46804189682006836},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3434348702430725},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.26731157302856445},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.12388730049133301},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10698580741882324},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.08415982127189636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6254327297210693},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6142669916152954},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5648517608642578},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.5177106857299805},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.48995843529701233},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.46804189682006836},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3434348702430725},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.26731157302856445},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.12388730049133301},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10698580741882324},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.08415982127189636},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2311.09635","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.09635","pdf_url":"https://arxiv.org/pdf/2311.09635","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2311.09635","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2311.09635","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2311.09635","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.09635","pdf_url":"https://arxiv.org/pdf/2311.09635","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G5683591555","display_name":null,"funder_award_id":"CGS_M","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G7140592641","display_name":null,"funder_award_id":"CGS-M","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8284766523","display_name":null,"funder_award_id":"(NSERC)","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320310638","display_name":"McGill University","ror":"https://ror.org/01pxwe438"},{"id":"https://openalex.org/F4320317052","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388787817.pdf","grobid_xml":"https://content.openalex.org/works/W4388787817.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W2144453115","https://openalex.org/W2128223750","https://openalex.org/W4238532390","https://openalex.org/W2188872161","https://openalex.org/W2961779879","https://openalex.org/W797688974","https://openalex.org/W2002978035","https://openalex.org/W2209382646"],"abstract_inverted_index":{"Contemporary":[0],"Large":[1],"Language":[2],"Models":[3],"(LLMs)":[4],"exhibit":[5,143],"a":[6,78,84,144],"high":[7,146],"degree":[8],"of":[9,57,87,95,128,165],"code":[10,24,106,130,163],"generation":[11],"and":[12,102,122,188],"comprehension":[13],"capability.":[14],"A":[15],"particularly":[16],"promising":[17],"area":[18],"is":[19,60],"their":[20,100],"ability":[21],"to":[22,98,172],"interpret":[23],"modules":[25,152],"from":[26,47],"unfamiliar":[27],"libraries":[28,109,131],"for":[29,182],"solving":[30],"user-instructed":[31],"tasks.":[32],"Recent":[33],"work":[34],"has":[35],"shown":[36],"that":[37,115,141],"large":[38],"proprietary":[39],"LLMs":[40,88,119,142,184],"can":[41],"learn":[42],"novel":[43,129,150],"library":[44,58,151],"usage":[45,59],"in-context":[46],"demonstrations.":[48,175],"These":[49],"results":[50,113,178],"raise":[51],"several":[52],"open":[53],"questions:":[54],"whether":[55,62],"demonstrations":[56],"required,":[61],"smaller":[63,117],"(and":[64],"more":[65,186],"open)":[66],"models":[67],"also":[68],"possess":[69],"such":[70],"capabilities,":[71],"etc.":[72],"In":[73],"this":[74],"work,":[75],"we":[76],"take":[77],"broader":[79],"approach":[80],"by":[81],"systematically":[82],"evaluating":[83],"diverse":[85],"array":[86],"across":[89],"three":[90],"scenarios":[91],"reflecting":[92],"varying":[93],"levels":[94],"domain":[96],"specialization":[97],"understand":[99],"abilities":[101],"limitations":[103],"in":[104,148,185],"generating":[105],"based":[107,132],"on":[108,133],"defined":[110],"in-context.":[111,136],"Our":[112,137],"show":[114],"even":[116,153],"open-source":[118],"like":[120],"Llama-2":[121],"StarCoder":[123],"demonstrate":[124],"an":[125],"adept":[126],"understanding":[127],"specification":[134],"presented":[135],"findings":[138],"further":[139],"reveal":[140],"surprisingly":[145],"proficiency":[147],"learning":[149],"when":[154],"provided":[155],"with":[156],"just":[157],"natural":[158],"language":[159],"descriptions":[160],"or":[161],"raw":[162],"implementations":[164],"the":[166,180],"functions,":[167],"which":[168],"are":[169],"often":[170],"cheaper":[171],"obtain":[173],"than":[174],"Overall,":[176],"our":[177],"pave":[179],"way":[181],"harnessing":[183],"adaptable":[187],"dynamic":[189],"coding":[190],"environments.":[191]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
