{"id":"https://openalex.org/W7156901370","doi":"https://doi.org/10.48550/arxiv.2604.24222","title":"MEMCoder: Multi-dimensional Evolving Memory for Private-Library-Oriented Code Generation","display_name":"MEMCoder: Multi-dimensional Evolving Memory for Private-Library-Oriented Code Generation","publication_year":2026,"publication_date":"2026-04-27","ids":{"openalex":"https://openalex.org/W7156901370","doi":"https://doi.org/10.48550/arxiv.2604.24222"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.24222","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24222","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.24222","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134804949","display_name":"Mofei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Mofei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134757227","display_name":"Taozhi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Taozhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134799303","display_name":"Guowei Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Guowei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134766284","display_name":"Jia Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.559499979019165,"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"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.559499979019165,"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/T10028","display_name":"Topic Modeling","score":0.13860000669956207,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.0421999990940094,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.7573000192642212},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5609999895095825},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5446000099182129},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.41350001096725464},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.38670000433921814},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.311599999666214},{"id":"https://openalex.org/keywords/exception-handling","display_name":"Exception handling","score":0.3100000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7601000070571899},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.7573000192642212},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5609999895095825},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5446000099182129},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.47909998893737793},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4401000142097473},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32429999113082886},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C145428669","wikidata":"https://www.wikidata.org/wiki/Q471748","display_name":"Exception handling","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.30970001220703125},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2662999927997589},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.24222","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24222","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":"doi:10.48550/arxiv.2604.24222","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24222","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"excel":[4],"at":[5],"general":[6],"code":[7],"generation,":[8],"but":[9],"their":[10],"performance":[11],"drops":[12],"sharply":[13],"in":[14,140],"enterprise":[15],"settings":[16],"that":[17,43,87,107,172],"rely":[18],"on":[19,152,165],"internal":[20],"private":[21],"libraries":[22],"absent":[23],"from":[24,111],"public":[25],"pre-training":[26],"corpora.":[27],"While":[28],"Retrieval-Augmented":[29],"Generation":[30],"(RAG)":[31],"offers":[32],"a":[33,52,60,84,103,121],"training-free":[34],"alternative":[35],"by":[36,145],"providing":[37],"static":[38,128],"API":[39],"documentation,":[40],"we":[41,81],"find":[42],"such":[44],"documentation":[45,129],"typically":[46],"provides":[47],"only":[48],"isolated":[49],"definitions,":[50],"leaving":[51],"fundamental":[53],"knowledge":[54,157],"gap.":[55],"Specifically,":[56],"LLMs":[57,89],"struggle":[58],"with":[59],"task-level":[61],"lack":[62],"of":[63,72,185],"coordination":[64],"patterns":[65],"between":[66],"APIs":[67],"and":[68,75,93,130,154,159,168],"an":[69,141,180],"API-level":[70],"misunderstanding":[71],"parameter":[73],"constraints":[74],"boundary":[76],"conditions.":[77],"To":[78],"address":[79],"this,":[80],"propose":[82],"MEMCoder,":[83],"novel":[85],"framework":[86,138],"enables":[88],"to":[90,125,150,195],"autonomously":[91],"accumulate":[92],"evolve":[94],"Usage":[95],"Guidelines":[96],"across":[97],"these":[98],"two":[99],"dimensions.":[100],"MEMCoder":[101,119,173,188],"introduces":[102],"Multi-dimensional":[104],"Evolving":[105],"Memory":[106],"captures":[108],"distilled":[109],"lessons":[110],"the":[112,135,166],"model's":[113],"own":[114],"problem-solving":[115],"trajectories.":[116],"During":[117],"inference,":[118],"employs":[120],"dual-source":[122],"retrieval":[123],"mechanism":[124],"inject":[126],"both":[127],"relevant":[131],"historical":[132],"guidelines":[133],"into":[134],"context.":[136],"The":[137],"operates":[139],"automated":[142],"closed":[143],"loop":[144],"using":[146],"objective":[147],"execution":[148],"feedback":[149],"reflect":[151],"successes":[153],"failures,":[155],"resolve":[156],"conflicts,":[158],"dynamically":[160],"update":[161],"memory.":[162],"Extensive":[163],"evaluations":[164],"NdonnxEval":[167],"NumbaEval":[169],"benchmarks":[170],"demonstrate":[171],"substantially":[174],"enhances":[175],"existing":[176,196],"RAG":[177],"systems,":[178],"yielding":[179],"average":[181],"absolute":[182],"pass@1":[183],"gain":[184],"16.31%.":[186],"Furthermore,":[187],"exhibits":[189],"vastly":[190],"superior":[191],"domain-specific":[192],"adaptation":[193],"compared":[194],"memory-based":[197],"continual":[198],"learning":[199],"methods.":[200]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-29T00:00:00"}
