{"id":"https://openalex.org/W7138307047","doi":"https://doi.org/10.48550/arxiv.2603.14448","title":"Zoom to Essence: Trainless GUI Grounding by Inferring upon Interface Elements","display_name":"Zoom to Essence: Trainless GUI Grounding by Inferring upon Interface Elements","publication_year":2026,"publication_date":"2026-03-15","ids":{"openalex":"https://openalex.org/W7138307047","doi":"https://doi.org/10.48550/arxiv.2603.14448"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.14448","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14448","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.2603.14448","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129684859","display_name":"Ziwei Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ziwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129701674","display_name":"Tao Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104198696","display_name":"Borui Kang","orcid":"https://orcid.org/0009-0003-5386-5665"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kang, Borui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038871254","display_name":"Yanbing Yang","orcid":"https://orcid.org/0000-0002-9266-8600"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yanbing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129647722","display_name":"Jun Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8817999958992004,"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":0.8817999958992004,"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/T10028","display_name":"Topic Modeling","score":0.01590000092983246,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.013299999758601189,"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/zoom","display_name":"Zoom","score":0.7547000050544739},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.7228000164031982},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5860000252723694},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.5457000136375427},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.45730000734329224},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.4293000102043152},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4142000079154968},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3971000015735626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.843999981880188},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.7547000050544739},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.7228000164031982},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5860000252723694},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.5457000136375427},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5426999926567078},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.45730000734329224},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4142000079154968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4027999937534332},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3971000015735626},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.390500009059906},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3384000062942505},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.33180001378059387},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.2989000082015991},{"id":"https://openalex.org/C128644962","wikidata":"https://www.wikidata.org/wiki/Q683111","display_name":"Visual programming language","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.28450000286102295},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2743000090122223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2678999900817871},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.2648000121116638}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.14448","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14448","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.2603.14448","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14448","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":[{"score":0.5172988772392273,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"Large":[1],"Language":[2],"Model":[3],"(MLLM)-based":[4],"Graphical":[5],"User":[6],"Interface":[7],"(GUI)":[8],"agents":[9,31],"develop":[10],"rapidly,":[11],"with":[12],"visual":[13,83,125],"grounding":[14],"that":[15,74,94,146],"maps":[16],"natural":[17],"language":[18],"instructions":[19,43],"to":[20,38,98,107,119,133],"target":[21,137],"UI":[22,45,76],"elements":[23,84,106],"serving":[24],"as":[25],"the":[26,116],"core":[27],"capability.":[28],"Existing":[29],"GUI":[30],"typically":[32],"fine-tune":[33],"MLLM":[34],"on":[35,60,142],"massive":[36],"datasets":[37],"handle":[39],"challenges":[40],"in":[41,102,136],"understanding":[42],"and":[44,63,128],"interfaces,":[46],"which":[47],"not":[48],"only":[49],"incurs":[50],"high":[51],"data":[52,61],"annotation":[53],"costs":[54],"but":[55],"also":[56],"makes":[57],"performance":[58],"dependent":[59],"quality":[62],"distribution.":[64],"To":[65],"avoid":[66],"such":[67],"cumbersome":[68],"yet":[69],"ineffective":[70],"training,":[71],"we":[72,91],"notice":[73],"complex":[75],"interfaces":[77],"can":[78],"be":[79],"decomposed":[80],"into":[81,123],"basic":[82],"directly":[85],"understandable":[86],"by":[87],"common":[88,100],"MLLMs.":[89],"Consequently,":[90],"propose":[92],"ZoomUI":[93,113,147],"leverages":[95,130],"inference":[96],"scaling":[97],"guide":[99],"MLLMs":[101],"progressively":[103],"anchor":[104],"instruction":[105,122],"increasingly":[108],"detailed":[109],"interface":[110,139],"elements.":[111],"Specifically,":[112],"first":[114],"optimizes":[115],"latent":[117],"thinking":[118],"transform":[120],"original":[121],"element":[124,138],"features":[126],"description,":[127],"subsequently":[129],"internal":[131],"attention":[132],"iteratively":[134],"zoom":[135],"region.":[140],"Evaluations":[141],"extensive":[143],"benchmarks":[144],"demonstrate":[145],"reaches":[148],"or":[149],"even":[150],"surpasses":[151],"SOTA":[152],"baselines.":[153]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}