{"id":"https://openalex.org/W4412945128","doi":"https://doi.org/10.18653/v1/2025.acl-long.1204","title":"Can Language Models Replace Programmers for Coding? REPOCOD Says \u2018Not Yet\u2019","display_name":"Can Language Models Replace Programmers for Coding? REPOCOD Says \u2018Not Yet\u2019","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412945128","doi":"https://doi.org/10.18653/v1/2025.acl-long.1204"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-long.1204","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.1204","pdf_url":"https://aclanthology.org/2025.acl-long.1204.pdf","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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-long.1204.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102722055","display_name":"Shanchao Liang","orcid":"https://orcid.org/0000-0002-7707-6551"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanchao Liang","raw_affiliation_strings":["Purdue University Purdue University Purdue University Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University Purdue University Purdue University Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743399","display_name":"Nan Jiang","orcid":"https://orcid.org/0000-0003-1268-6532"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Jiang","raw_affiliation_strings":["Purdue University Purdue University Purdue University Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University Purdue University Purdue University Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110053852","display_name":"Yiran Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Hu","raw_affiliation_strings":["Purdue University Purdue University Purdue University Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University Purdue University Purdue University Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009306083","display_name":"Lin Tan","orcid":"https://orcid.org/0000-0002-9400-1754"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Tan","raw_affiliation_strings":["Purdue University Purdue University Purdue University Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University Purdue University Purdue University Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":5.019,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95516874,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"24698","last_page":"24717"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.42260000109672546,"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":0.42260000109672546,"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":0.7909661531448364},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5548834204673767},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5431832075119019},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33084753155708313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909661531448364},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5548834204673767},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5431832075119019},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33084753155708313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.acl-long.1204","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.1204","pdf_url":"https://aclanthology.org/2025.acl-long.1204.pdf","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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-long.1204","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.1204","pdf_url":"https://aclanthology.org/2025.acl-long.1204.pdf","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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1174061045","display_name":"SHF:Small:Differential Testing for Machine Learning Software","funder_award_id":"2006688","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7284570364","display_name":"SHF: Medium: Principled Co-Reasoning of Software and Natural-Language Artifacts","funder_award_id":"1901242","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412945128.pdf","grobid_xml":"https://content.openalex.org/works/W4412945128.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Recently,":[0],"a":[1,32,84],"number":[2],"of":[3,20,61,116,150],"repository-level":[4,119],"code":[5],"generation":[6,108,167],"benchmarks-such":[7],"as":[8,46,176],"CoderEval,":[9],"DevEval,":[10],"RepoEval,":[11],"RepoBench,":[12],"and":[13,30,98,136],"Long-Code-Arena-have":[14],"emerged":[15],"to":[16,73],"evaluate":[17,131],"the":[18,148],"capabilities":[19],"large":[21,96],"language":[22],"models":[23],"(LLMs)":[24],"beyond":[25],"standalone":[26],"benchmarks":[27,59],"like":[28],"HumanEval":[29],"MBPP.Thus,":[31],"natural":[33],"question":[34],"is,":[35],"would":[36],"LLMs":[37,133,153],"have":[38],"similar":[39],"performance":[40,48],"in":[41,49,94,158],"real":[42],"world":[43],"coding":[44,76],"tasks":[45,90,109],"their":[47],"these":[50,58,79],"benchmarks?Unfortunately,":[51],"one":[52],"cannot":[53],"answer":[54],"this":[55],"question,":[56],"since":[57],"consist":[60],"short":[62],"completions,":[63],"synthetic":[64],"examples,":[65],"or":[66],"focus":[67],"on":[68,134,145],"limited":[69],"scale":[70],"repositories,":[71],"failing":[72],"represent":[74],"real-world":[75,95,159],"tasks.To":[77],"address":[78],"challenges,":[80],"we":[81,163],"create":[82],"RE-POCOD,":[83],"Python":[85],"code-generation":[86],"benchmark":[87],"containing":[88],"complex":[89],"with":[91],"realistic":[92],"dependencies":[93,175],"projects":[97],"appropriate":[99],"metrics":[100],"for":[101,128],"evaluating":[102],"source":[103],"code.It":[104],"includes":[105,121],"980":[106],"whole-function":[107],"from":[110],"11":[111],"popular":[112],"projects,":[113],"50.8":[114],"%":[115],"which":[117],"require":[118],"context.REPOCOD":[120],"314":[122],"developer-written":[123],"test":[124],"cases":[125],"per":[126],"instance":[127],"better":[129,169],"evaluation.We":[130],"ten":[132],"REPOCOD":[135],"find":[137],"that":[138,154,165],"none":[139],"achieves":[140,168],"more":[141],"than":[142,171],"30%":[143],"pass@1":[144],"REPOCOD,":[146],"indicating":[147],"necessity":[149],"building":[151],"stronger":[152],"can":[155],"help":[156],"developers":[157],"software":[160],"development.In":[161],"addition,":[162],"found":[164],"retrieval-augmented":[166],"results":[170],"using":[172],"target":[173],"function":[174],"context.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}