{"id":"https://openalex.org/W7160242957","doi":"https://doi.org/10.48550/arxiv.2605.01208","title":"Faithful Mobile GUI Agents with Guided Advantage Estimator","display_name":"Faithful Mobile GUI Agents with Guided Advantage Estimator","publication_year":2026,"publication_date":"2026-05-02","ids":{"openalex":"https://openalex.org/W7160242957","doi":"https://doi.org/10.48550/arxiv.2605.01208"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.01208","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01208","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.01208","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135298211","display_name":"Haowen Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Haowen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009313267","display_name":"Pengzhou Cheng","orcid":"https://orcid.org/0000-0003-0945-8790"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Pengzhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135384662","display_name":"Zheng Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100311647","display_name":"Lingzhong Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Lingzhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135368699","display_name":"Gongshen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Gongshen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135313634","display_name":"Zhuosheng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhuosheng","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/T10709","display_name":"Social Robot Interaction and HRI","score":0.21709999442100525,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.21709999442100525,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.16429999470710754,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.03750000149011612,"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/estimator","display_name":"Estimator","score":0.6218000054359436},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6049000024795532},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.5773000121116638},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4659000039100647},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.3700000047683716},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.3375000059604645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916999816894531},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6218000054359436},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6049000024795532},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.5773000121116638},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3700000047683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3668999969959259},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34139999747276306},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27630001306533813}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.01208","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01208","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.01208","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01208","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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vision-language":[0],"model":[1],"based":[2],"graphical":[3],"user":[4,31],"interface":[5],"(GUI)":[6],"agents":[7],"have":[8],"shown":[9],"strong":[10],"interaction":[11,45],"capabilities.":[12],"However,":[13],"they":[14],"often":[15],"behave":[16],"unfaithfully,":[17],"relying":[18],"on":[19],"memorized":[20],"shortcuts":[21],"rather":[22],"than":[23],"grounding":[24],"actions":[25],"in":[26,99],"displayed":[27],"screen":[28],"evidence":[29,48,68],"or":[30],"instructions.":[32],"To":[33],"address":[34],"this,":[35],"we":[36],"propose":[37],"Faithful-Agent,":[38],"a":[39,55,59,109],"faithfulness-first":[40],"framework":[41],"that":[42,74],"reformulates":[43],"GUI":[44,105],"to":[46,63,122,125],"prioritize":[47],"groundedness":[49],"and":[50,87,107],"internal":[51],"consistency.":[52],"Faithful-Agent":[53,113],"employs":[54],"two-stage":[56],"pipeline:":[57],"(i)":[58],"faithfulness-oriented":[60],"SFT":[61],"stage":[62,73],"instill":[64],"abstainment":[65],"behaviors":[66],"under":[67,103],"perturbations;":[69],"(ii)":[70],"an":[71,85],"RFT":[72],"further":[75],"amplifies":[76],"faithfulness":[77],"by":[78],"introducing":[79],"the":[80,117,126],"guided":[81],"advantage":[82,89,97],"estimator":[83],"(GuAE),":[84],"anchor-based":[86],"variance-adaptive":[88],"tempering":[90],"mechanism":[91],"built":[92],"upon":[93],"GRPO.":[94],"GuAE":[95],"prevents":[96],"collapse":[98],"low-variance":[100],"rollout":[101],"groups":[102],"sparse":[104],"rewards,":[106],"with":[108],"thought-action":[110],"consistency":[111],"reward,":[112],"(Stage":[114],"II)":[115],"elevates":[116],"Trap":[118],"SR":[119],"from":[120],"13.88\\%":[121],"80.21\\%":[123],"relative":[124],"baseline,":[127],"while":[128],"preserving":[129],"robust":[130],"general":[131],"instruction-following":[132],"performance.":[133]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-06T00:00:00"}