{"id":"https://openalex.org/W7131862632","doi":"https://doi.org/10.48550/arxiv.2602.23166","title":"AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios","display_name":"AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios","publication_year":2026,"publication_date":"2026-02-26","ids":{"openalex":"https://openalex.org/W7131862632","doi":"https://doi.org/10.48550/arxiv.2602.23166"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.23166","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.23166","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.2602.23166","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124953004","display_name":"Zhaochen Su","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Su, Zhaochen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097277918","display_name":"Jincheng Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Jincheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127446971","display_name":"Hangyu Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Hangyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127102884","display_name":"Zhenhua Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhenhua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127282831","display_name":"Lueyang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Lueyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124184936","display_name":"Xinyu Geng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geng, Xinyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067715252","display_name":"Shijue Huang","orcid":"https://orcid.org/0000-0001-9443-7948"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Shijue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127035312","display_name":"Peng Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Peng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091346080","display_name":"Guanyu Jiang","orcid":"https://orcid.org/0009-0005-4921-2762"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Guanyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127447943","display_name":"Cheng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Cheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127162441","display_name":"Yue Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123714467","display_name":"Yi R Fung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fung, Yi R.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127461377","display_name":"Junxian He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Junxian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5124953004"],"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0044999998062849045,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.0017999999690800905,"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/troubleshooting","display_name":"Troubleshooting","score":0.7803000211715698},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6449999809265137},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5235999822616577},{"id":"https://openalex.org/keywords/multimodal-interaction","display_name":"Multimodal interaction","score":0.4302999973297119},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.4275999963283539},{"id":"https://openalex.org/keywords/schematic","display_name":"Schematic","score":0.3747999966144562},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3474000096321106}],"concepts":[{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.7803000211715698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763000130653381},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6449999809265137},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5235999822616577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.499099999666214},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4975000023841858},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38339999318122864},{"id":"https://openalex.org/C192328126","wikidata":"https://www.wikidata.org/wiki/Q4514647","display_name":"Schematic","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.29319998621940613},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.2612999975681305},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C2777055276","wikidata":"https://www.wikidata.org/wiki/Q7936580","display_name":"Visual approach","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.23166","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.23166","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.2602.23166","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.23166","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":{"Real-world":[0],"multimodal":[1,50,86,145,185],"agents":[2,77,87,186],"solve":[3],"multi-step":[4],"workflows":[5],"grounded":[6],"in":[7,138,152],"visual":[8,55,69,99],"evidence.":[9],"For":[10],"example,":[11],"an":[12],"agent":[13],"can":[14,166],"troubleshoot":[15],"a":[16,20,24,35,39,82],"device":[17],"by":[18,37],"linking":[19],"wiring":[21],"photo":[22],"to":[23,141,176],"schematic":[25],"and":[26,42,61,71,97,120,127,163,183,189],"validating":[27],"the":[28,67,149,178],"fix":[29],"with":[30,101,156],"online":[31],"documentation,":[32],"or":[33,57],"plan":[34],"trip":[36],"interpreting":[38],"transit":[40],"map":[41],"checking":[43],"schedules":[44],"under":[45],"routing":[46],"constraints.":[47],"However,":[48],"existing":[49],"benchmarks":[51],"mainly":[52],"evaluate":[53],"single-turn":[54],"reasoning":[56],"specific":[58],"tool":[59,73,104,109,146],"skills,":[60],"they":[62],"do":[63],"not":[64],"fully":[65],"capture":[66],"realism,":[68],"subtlety,":[70],"long-horizon":[72,108,144],"use":[74],"that":[75,88],"practical":[76],"require.":[78],"We":[79,173],"introduce":[80],"AgentVista,":[81],"benchmark":[83],"for":[84,123,187],"generalist":[85],"spans":[89],"25":[90,170],"sub-domains":[91],"across":[92,111],"7":[93],"categories,":[94],"pairing":[95],"realistic":[96,188],"detail-rich":[98],"scenarios":[100],"natural":[102],"hybrid":[103],"use.":[105,147],"Tasks":[106],"require":[107,167],"interactions":[110],"modalities,":[112],"including":[113],"web":[114],"search,":[115,117],"image":[116,125],"page":[118],"navigation,":[119],"code-based":[121],"operations":[122],"both":[124],"processing":[126],"general":[128],"programming.":[129],"Comprehensive":[130],"evaluation":[131],"of":[132,180],"state-of-the-art":[133],"models":[134],"exposes":[135],"significant":[136],"gaps":[137],"their":[139],"ability":[140],"carry":[142],"out":[143],"Even":[148],"best":[150],"model":[151],"our":[153],"evaluation,":[154],"Gemini-3-Pro":[155],"tools,":[157],"achieves":[158],"only":[159],"27.3%":[160],"overall":[161],"accuracy,":[162],"hard":[164],"instances":[165],"more":[168,181],"than":[169],"tool-calling":[171],"turns.":[172],"expect":[174],"AgentVista":[175],"accelerate":[177],"development":[179],"capable":[182],"reliable":[184],"ultra-challenging":[190],"problem":[191],"solving.":[192]},"counts_by_year":[],"updated_date":"2026-02-28T06:18:59.386488","created_date":"2026-02-28T00:00:00"}