{"id":"https://openalex.org/W7162781697","doi":"https://doi.org/10.48550/arxiv.2605.30105","title":"EvoRepair: Enhancing Vulnerability Repair Agents Through Experience-Based Self-Evolution","display_name":"EvoRepair: Enhancing Vulnerability Repair Agents Through Experience-Based Self-Evolution","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7162781697","doi":"https://doi.org/10.48550/arxiv.2605.30105"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.30105","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30105","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.30105","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137355643","display_name":"Haichuan Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Haichuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113689783","display_name":"Guoqing Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Guoqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137375826","display_name":"Quanjun Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Quanjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137375759","display_name":"Jiawei Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiawei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101519109","display_name":"Shengcheng Yu","orcid":"https://orcid.org/0000-0003-4640-8637"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Shengcheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137370776","display_name":"Chunrong Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Chunrong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137396951","display_name":"Zhenyu Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhenyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137377254","display_name":"Liang Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.36880001425743103,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.36880001425743103,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.0494999997317791,"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/T10028","display_name":"Topic Modeling","score":0.048500001430511475,"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/leverage","display_name":"Leverage (statistics)","score":0.7408000230789185},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.6762999892234802},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4796999990940094},{"id":"https://openalex.org/keywords/vulnerability-assessment","display_name":"Vulnerability assessment","score":0.42149999737739563},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.367900013923645}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7408000230789185},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.6762999892234802},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.5076000094413757},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4796999990940094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4778999984264374},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.43560001254081726},{"id":"https://openalex.org/C167063184","wikidata":"https://www.wikidata.org/wiki/Q1400839","display_name":"Vulnerability assessment","level":3,"score":0.42149999737739563},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.32359999418258667},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.2897000014781952}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.30105","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30105","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.30105","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30105","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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],"have":[4],"shown":[5],"promise":[6],"for":[7],"automated":[8],"vulnerability":[9,78,114],"repair":[10,43,47,98,115],"(AVR),":[11],"but":[12],"they":[13],"still":[14],"face":[15],"several":[16],"limitations,":[17],"including":[18],"the":[19,26,59,128,172,187],"lack":[20,27],"of":[21,28,189],"intra-vulnerability":[22],"experience":[23,30,103],"accumulation":[24],"and":[25,44,72,100,119,139,152,156,159,164,195,207],"cross-vulnerability":[29],"reuse.":[31],"As":[32],"a":[33,82],"result,":[34],"LLMs":[35,68],"may":[36],"repeatedly":[37],"make":[38],"similar":[39],"mistakes":[40],"during":[41],"iterative":[42],"underutilize":[45],"valuable":[46],"knowledge":[48,75],"from":[49,97],"historical":[50],"vulnerabilities.":[51],"To":[52],"address":[53],"these":[54],"challenges,":[55],"we":[56],"propose":[57],"EvoRepair,":[58],"first":[60],"experience-based":[61,201],"self-evolving":[62,174,211],"AVR":[63,206],"agent":[64,175],"framework":[65],"that":[66,86,125,200],"enables":[67],"to":[69,91],"accumulate,":[70],"refine,":[71],"leverage":[73],"domain-specific":[74],"across":[76,191],"long-horizon":[77],"repairs.":[79],"EvoRepair":[80,110,126,144,169,190],"follows":[81],"cyclic":[83],"learn-and-repair":[84],"process":[85],"retrieves":[87],"relevant":[88],"past":[89],"experiences":[90,96],"guide":[92],"repair,":[93],"extracts":[94],"new":[95],"trajectories,":[99],"updates":[101],"an":[102],"bank":[104],"using":[105,121],"quality-aware":[106],"scoring.":[107],"We":[108],"evaluate":[109],"against":[111],"12":[112],"representative":[113],"baselines":[116],"on":[117,134,137,154,183],"PATCHEVAL":[118,155],"SEC-bench":[120],"GPT-5-mini.":[122],"Results":[123],"show":[124],"achieves":[127],"best":[129],"overall":[130],"performance,":[131],"reaching":[132],"93.47%":[133],"PATCHEVAL,":[135],"87.00%":[136],"SEC-bench,":[138,157],"90.46%":[140],"overall.":[141,179],"In":[142],"particular,":[143],"outperforms":[145],"latest":[146],"LLM-based":[147],"baseline":[148],"LoopRepair":[149],"by":[150,162,177],"39.56%":[151],"33.50%":[153],"respectively,":[158],"surpasses":[160],"IntentFix":[161],"70.86%":[163],"50.50%.":[165],"Across":[166],"both":[167],"benchmarks,":[168],"also":[170],"exceeds":[171],"recent":[173],"Live-SWE-Agent":[176],"6.98%":[178],"Additional":[180],"transfer":[181],"experiments":[182],"VUL4J":[184],"further":[185],"demonstrate":[186,199],"robustness":[188],"models,":[192],"programming":[193],"languages,":[194],"datasets.":[196],"These":[197],"findings":[198],"self-evolution":[202],"substantially":[203],"strengthens":[204],"agentic":[205],"goes":[208],"beyond":[209],"existing":[210],"techniques.":[212]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-30T00:00:00"}
