{"id":"https://openalex.org/W7155104540","doi":"https://doi.org/10.48550/arxiv.2604.17745","title":"HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution","display_name":"HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155104540","doi":"https://doi.org/10.48550/arxiv.2604.17745"},"language":"en","primary_location":{"id":"pmh:oai:pure.atira.dk:publications/1822e875-826f-4a5a-ae64-3344fa75d452","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/1822e875-826f-4a5a-ae64-3344fa75d452","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hong, H, Li, Y, Chen, J, Ananiadou, S, Li, X, Kim, J & Lin, C 2026, 'HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution', pp. 1-30.","raw_type":"info:eu-repo/semantics/publishedVersion"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.17745","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100580797","display_name":"Hanhua Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong, Hanhua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134098925","display_name":"Yizhi LI","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"LI, Yizhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134196490","display_name":"Jiaoyan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jiaoyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134175525","display_name":"Sophia Ananiadou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ananiadou, Sophia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101739693","display_name":"Xiaoli Li","orcid":"https://orcid.org/0000-0001-5322-1884"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xiaoli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134160682","display_name":"Jung-jae Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Jung-jae","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134156525","display_name":"Chenghua Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Chenghua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"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/T11986","display_name":"Scientific Computing and Data Management","score":0.5,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.5,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.18490000069141388,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.025299999862909317,"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/robustness","display_name":"Robustness (evolution)","score":0.8295000195503235},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5317999720573425},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.41830000281333923},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.30640000104904175},{"id":"https://openalex.org/keywords/execution-time","display_name":"Execution time","score":0.28870001435279846}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8295000195503235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523000240325928},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5317999720573425},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.41830000281333923},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38909998536109924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3824999928474426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37549999356269836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3160000145435333},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.26420000195503235}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:pure.atira.dk:publications/1822e875-826f-4a5a-ae64-3344fa75d452","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/1822e875-826f-4a5a-ae64-3344fa75d452","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hong, H, Li, Y, Chen, J, Ananiadou, S, Li, X, Kim, J & Lin, C 2026, 'HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution', pp. 1-30.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"doi:10.48550/arxiv.2604.17745","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17745","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.2604.17745","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17745","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":{"Recent":[0],"advances":[1],"in":[2,72,132],"large":[3],"language":[4],"models":[5,127],"have":[6],"highlighted":[7],"their":[8,33],"potential":[9],"to":[10,61],"automate":[11],"computational":[12],"research,":[13],"particularly":[14],"reproducing":[15],"experimental":[16],"results.":[17],"However,":[18],"existing":[19],"approaches":[20],"still":[21],"use":[22],"fixed":[23],"sequential":[24],"agent":[25],"pipelines":[26],"with":[27,94],"weak":[28],"global":[29],"coordination,":[30],"which":[31],"limits":[32],"robustness":[34,107],"and":[35,80,91,106,112,128],"overall":[36],"performance.":[37],"In":[38],"this":[39],"work,":[40],"we":[41],"propose":[42],"Hierarchical":[43],"Research":[44],"Agent":[45],"System":[46],"(HiRAS),":[47],"a":[48,84],"hierarchical":[49],"multi-agent":[50],"framework":[51],"for":[52],"end-to-end":[53],"experiment":[54],"reproduction":[55],"that":[56,87],"employs":[57],"supervisory":[58],"manager":[59],"agents":[60,64],"coordinate":[62],"specialised":[63],"across":[65],"fine-grained":[66],"stages.":[67],"We":[68,99],"also":[69],"identify":[70],"limitations":[71],"the":[73,77,95,104,121],"reference-free":[74],"evaluation":[75],"of":[76,108],"Paper2Code":[78],"benchmark":[79],"introduce":[81],"Paper2Code-Extra":[82],"(P2C-Ex),":[83],"refined":[85],"protocol":[86],"incorporates":[88],"repository-level":[89],"information":[90],"better":[92],"aligns":[93],"original":[96],"reference-based":[97],"metric.":[98],"conduct":[100],"extensive":[101],"evaluation,":[102],"validating":[103],"effectiveness":[105],"our":[109],"proposed":[110],"methods,":[111],"observing":[113],"improvements,":[114],"including":[115],"&gt;10\\%":[116],"relative":[117],"performance":[118],"gain":[119],"beyond":[120],"previous":[122],"state-of-the-art":[123],"using":[124],"open-source":[125],"backbone":[126],"significantly":[129],"reduced":[130],"hallucination":[131],"evaluation.":[133],"Our":[134],"work":[135],"is":[136],"available":[137],"on":[138],"GitHub:":[139],"https://github.com/KOU-199024/HiRAS.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-22T00:00:00"}
