{"id":"https://openalex.org/W7154604129","doi":"https://doi.org/10.48550/arxiv.2604.13531","title":"RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management","display_name":"RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management","publication_year":2026,"publication_date":"2026-04-15","ids":{"openalex":"https://openalex.org/W7154604129","doi":"https://doi.org/10.48550/arxiv.2604.13531"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.13531","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13531","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.13531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133772381","display_name":"Renqi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Renqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133788966","display_name":"Zeyin Tao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Zeyin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133796694","display_name":"Jianming Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Jianming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133778056","display_name":"Jing Wang","orcid":"https://orcid.org/0009-0007-3030-782X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133793181","display_name":"Zezhou Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Zezhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133817898","display_name":"Jingzhe Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Jingzhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133773422","display_name":"Qingqing Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Qingqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133776045","display_name":"Tianyi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Tianyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133798077","display_name":"Shuai Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Shuai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.28380000591278076,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.28380000591278076,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.05999999865889549,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.033900000154972076,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/testbed","display_name":"Testbed","score":0.67330002784729},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5131000280380249},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5116000175476074},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.49480000138282776},{"id":"https://openalex.org/keywords/risk-management","display_name":"Risk management","score":0.47839999198913574},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4724000096321106},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.46059998869895935},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.4352000057697296}],"concepts":[{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.67330002784729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6653000116348267},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5131000280380249},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.49480000138282776},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4724000096321106},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.46059998869895935},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.4352000057697296},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C78780964","wikidata":"https://www.wikidata.org/wiki/Q7233193","display_name":"Position paper","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3677999973297119},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36480000615119934},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.357699990272522},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.32409998774528503},{"id":"https://openalex.org/C114073186","wikidata":"https://www.wikidata.org/wiki/Q2631895","display_name":"Automated planning and scheduling","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C15952604","wikidata":"https://www.wikidata.org/wiki/Q179012","display_name":"Project management","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.13531","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13531","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.13531","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13531","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":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6384016871452332,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Graphical":[0],"User":[1],"Interface":[2],"(GUI)":[3],"agents":[4,52],"show":[5],"strong":[6],"capabilities":[7],"for":[8,49,173],"automating":[9],"web":[10],"tasks,":[11],"but":[12],"existing":[13],"interactive":[14,47],"benchmarks":[15],"primarily":[16],"target":[17],"benign,":[18],"predictable":[19],"consumer":[20],"environments.":[21],"Their":[22],"effectiveness":[23],"in":[24,53,144],"high-stakes,":[25],"investigative":[26],"domains":[27],"such":[28],"as":[29,169],"authentic":[30,73],"e-commerce":[31,54],"risk":[32,55,76],"management":[33],"remains":[34],"underexplored.":[35],"To":[36,84],"bridge":[37],"this":[38],"gap,":[39],"we":[40,93],"present":[41],"RiskWebWorld,":[42],"the":[43,72,151],"first":[44],"highly":[45],"realistic":[46],"benchmark":[48],"evaluating":[50],"GUI":[51,125],"management.":[56],"RiskWebWorld":[57,168],"features":[58],"1,513":[59],"tasks":[60],"sourced":[61],"from":[62,103],"production":[63],"risk-control":[64],"pipelines":[65],"across":[66,108],"8":[67],"core":[68],"domains,":[69],"and":[70,88],"captures":[71],"challenges":[74],"of":[75,153],"operations":[77],"on":[78],"uncooperative":[79],"websites,":[80],"partially":[81],"environmental":[82],"hijackments.":[83],"support":[85],"scalable":[86],"evaluation":[87,107],"agentic":[89,157],"reinforcement":[90],"learning":[91],"(RL),":[92],"further":[94],"build":[95],"a":[96,112,170],"Gymnasium-compliant":[97],"infrastructure":[98,155],"that":[99,133],"decouples":[100],"policy":[101],"planning":[102],"environment":[104],"mechanics.":[105],"Our":[106],"diverse":[109],"models":[110,118,126,162],"reveals":[111],"dramatic":[113],"capability":[114],"gap:":[115],"top-tier":[116],"generalist":[117],"achieve":[119],"49.1%":[120],"success,":[121],"while":[122],"specialized":[123],"open-weights":[124],"lag":[127],"at":[128],"near-total":[129],"failure.":[130],"This":[131],"highlights":[132],"foundation":[134],"model":[135],"scale":[136],"currently":[137],"matters":[138],"more":[139],"than":[140],"zero-shot":[141],"interface":[142],"grounding":[143],"long-horizon":[145],"professional":[146],"tasks.":[147],"We":[148],"also":[149],"demonstrate":[150],"viability":[152],"our":[154],"through":[156],"RL,":[158],"which":[159],"improves":[160],"open-source":[161],"by":[163],"16.2%.":[164],"These":[165],"results":[166],"position":[167],"practical":[171],"testbed":[172],"developing":[174],"robust":[175],"digital":[176],"workers.":[177]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-17T00:00:00"}
