{"id":"https://openalex.org/W7171650336","doi":"https://doi.org/10.1145/3794763.3794823","title":"RepoMind: Enhancing Repository-Level Code Generation via LLM Reasoning over Structured Repository Documentation","display_name":"RepoMind: Enhancing Repository-Level Code Generation via LLM Reasoning over Structured Repository Documentation","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7171650336","doi":"https://doi.org/10.1145/3794763.3794823"},"language":null,"primary_location":{"id":"doi:10.1145/3794763.3794823","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794763.3794823","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 2026 34th IEEE/ACM International Conference on Program Comprehension","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3794763.3794823","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140838385","display_name":"Songwen Gong","orcid":"https://orcid.org/0009-0005-1020-1230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songwen Gong","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-1020-1230","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051810784","display_name":"Mengzhen Wang","orcid":"https://orcid.org/0000-0002-4086-2743"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengzhen Wang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4086-2743","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002191673","display_name":"Jiexin Wang","orcid":"https://orcid.org/0000-0002-7064-6507"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiexin Wang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7064-6507","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089123257","display_name":"Yi Cai","orcid":"https://orcid.org/0000-0002-1767-789X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Cai","raw_affiliation_strings":["South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), Ministry of Education, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1767-789X","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.8337000012397766},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.6571999788284302},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6205999851226807},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5803999900817871},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5088000297546387},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.49160000681877136},{"id":"https://openalex.org/keywords/internal-documentation","display_name":"Internal documentation","score":0.46399998664855957},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.43939998745918274}],"concepts":[{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.8337000012397766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7612000107765198},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.6571999788284302},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6205999851226807},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5803999900817871},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5088000297546387},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.49160000681877136},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4830999970436096},{"id":"https://openalex.org/C140396857","wikidata":"https://www.wikidata.org/wiki/Q16934771","display_name":"Internal documentation","level":5,"score":0.46399998664855957},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.37560001015663147},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34279999136924744},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3089999854564667},{"id":"https://openalex.org/C45874996","wikidata":"https://www.wikidata.org/wiki/Q37045","display_name":"Markup language","level":3,"score":0.3086000084877014},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30169999599456787},{"id":"https://openalex.org/C81587897","wikidata":"https://www.wikidata.org/wiki/Q181702","display_name":"Software documentation","level":5,"score":0.29679998755455017},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C150292731","wikidata":"https://www.wikidata.org/wiki/Q1342704","display_name":"Code review","level":5,"score":0.26089999079704285},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C99613125","wikidata":"https://www.wikidata.org/wiki/Q165194","display_name":"Application programming interface","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C121957198","wikidata":"https://www.wikidata.org/wiki/Q14365593","display_name":"KPI-driven code analysis","level":5,"score":0.25760000944137573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3794763.3794823","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794763.3794823","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 2026 34th IEEE/ACM International Conference on Program Comprehension","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3794763.3794823","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794763.3794823","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 2026 34th IEEE/ACM International Conference on Program Comprehension","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2296073425","https://openalex.org/W3198685994","https://openalex.org/W4389519225","https://openalex.org/W4391558462","https://openalex.org/W4400582844","https://openalex.org/W4400681637","https://openalex.org/W4402442868","https://openalex.org/W4402670434","https://openalex.org/W4403536437","https://openalex.org/W4403722215","https://openalex.org/W4404783403","https://openalex.org/W4407580437","https://openalex.org/W4409362724","https://openalex.org/W4411360042","https://openalex.org/W4411950584","https://openalex.org/W4413267850","https://openalex.org/W4415536702","https://openalex.org/W7125933514","https://openalex.org/W7131788804"],"related_works":[],"abstract_inverted_index":{"Repository-level":[0],"code":[1,7,67,86,196,203,227],"generation":[2,54,87,197,204],"aims":[3],"to":[4,25,46,194,217],"generate":[5],"target":[6],"conditioned":[8],"on":[9,200],"the":[10,13,20,31,35,52,60,65,70,105,141,152,162,167,170,180,187],"context":[11,39,193],"of":[12,37],"specified":[14],"repository.":[15],"Existing":[16],"approaches":[17],"generally":[18,58],"adopt":[19],"Retrieval-Augmented":[21],"Generation":[22],"(RAG)":[23],"framework":[24,82,168],"retrieve":[26],"relevant":[27,49,163,172],"contextual":[28],"information":[29,50],"from":[30],"repository,":[32],"thereby":[33],"mitigating":[34],"challenge":[36],"long":[38],"windows.":[40],"However,":[41],"these":[42,75],"methods":[43],"typically":[44],"struggle":[45],"identify":[47],"truly":[48],"for":[51,63,98,126,155],"current":[53],"requirement,":[55],"and":[56,94,130,158,207],"they":[57],"overlook":[59],"imperative":[61],"need":[62],"understanding":[64,127],"repository-level":[66,85,202],"structure":[68],"during":[69],"retrieval":[71],"process.":[72],"To":[73],"address":[74],"issues,":[76],"we":[77],"propose":[78],"RepoMind,":[79],"a":[80,90,116,122,218],"novel":[81],"that":[83,210],"advances":[84],"by":[88,150,186],"leveraging":[89],"repository":[91,128,153],"documentation":[92,114,154],"library":[93],"LLM":[95,177],"reasoning":[96,178],"capabilities":[97],"API":[99,164,173,183],"retrieval.":[100],"Specifically,":[101],"RepoMind":[102,138,211],"first":[103],"introduces":[104],"RepoDocs":[106],"Agent.":[107,143],"This":[108,144],"component":[109],"constructs":[110],"multi-granularity,":[111],"hierarchical":[112,135],"structural":[113],"in":[115,222],"bottom-up":[117],"manner,":[118],"providing":[119],"LLMs":[120],"with":[121,179],"high-quality":[123],"knowledge":[124,136],"base":[125],"functionality":[129],"structure.":[131],"Built":[132],"upon":[133],"this":[134,191],"base,":[137],"further":[139],"integrates":[140],"Reasoning-Retrieval":[142],"agent":[145],"mimics":[146],"human":[147],"developer":[148],"patterns":[149],"utilizing":[151,190],"layer-by-layer":[156],"exploration,":[157],"ultimately":[159],"precisely":[160],"localizes":[161],"sets.":[165],"Finally,":[166],"combines":[169],"functionally":[171],"set":[174,184],"retrieved":[175,185],"via":[176],"semantically":[181],"similar":[182],"vector":[188],"retriever,":[189],"hybrid":[192],"boost":[195],"performance.":[198],"Evaluation":[199],"widely-used":[201],"benchmarks,":[205],"CoderEval":[206],"DevEval,":[208],"demonstrates":[209],"surpasses":[212],"state-of-the-art":[213],"methods,":[214],"achieving":[215],"up":[216],"13.50%":[219],"relative":[220],"improvement":[221],"Pass@1":[223],"scores.":[224],"The":[225],"open-source":[226],"will":[228],"be":[229],"released":[230],"at":[231],"https://github.com/ABigTrouble/RepoMind.":[232]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2026-07-30T00:00:00"}