{"id":"https://openalex.org/W7133517828","doi":"https://doi.org/10.48550/arxiv.2603.02951","title":"CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning","display_name":"CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133517828","doi":"https://doi.org/10.48550/arxiv.2603.02951"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.02951","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111357993","display_name":"Zhenquan Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Zhenquan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066588572","display_name":"Zitong Huang","orcid":"https://orcid.org/0000-0002-2184-0979"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zitong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128097684","display_name":"Yihan Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Yihan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128114793","display_name":"Jianhua Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Jianhua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128084666","display_name":"Hang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Hang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128113939","display_name":"Chun-Mei Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Chun-Mei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126708790","display_name":"Jianwei Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Jianwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128046853","display_name":"Wangmeng Zuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zuo, Wangmeng","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26370479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.8379999995231628,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.8379999995231628,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.02810000069439411,"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":0.01720000058412552,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7192999720573425},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.4885999858379364},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.4325999915599823},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4278999865055084},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4180999994277954},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41339999437332153},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.39660000801086426},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3885999917984009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745000123977661},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7192999720573425},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5210000276565552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5098999738693237},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.4885999858379364},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.4325999915599823},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4278999865055084},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3885999917984009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37779998779296875},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3407000005245209},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.32359999418258667},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C66153210","wikidata":"https://www.wikidata.org/wiki/Q5597182","display_name":"Graphical user interface testing","level":4,"score":0.295199990272522},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.02951","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.02951","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02951","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":"pmh:doi:10.48550/arxiv.2603.02951","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"Graphical":[0],"User":[1],"Interface":[2],"(GUI)":[3],"Agents,":[4],"benefiting":[5],"from":[6,75],"recent":[7],"advances":[8],"in":[9,36],"multimodal":[10],"large":[11],"language":[12],"models":[13],"(MLLM),":[14],"have":[15],"achieved":[16],"significant":[17],"development.":[18],"However,":[19],"due":[20],"to":[21,29,117,182],"the":[22,99,120,124,156,187,196],"frequent":[23],"updates":[24],"of":[25,158,167,189,198],"GUI":[26,37,176,191],"applications,":[27],"adapting":[28],"new":[30],"tasks":[31,35],"without":[32],"forgetting":[33],"old":[34],"continual":[38,190,204],"learning":[39,205],"remains":[40],"an":[41,67,108,171],"open":[42],"problem.":[43],"In":[44],"this":[45,79],"work,":[46],"we":[47,81,106,135,169],"reveal":[48],"that":[49,70,89,161],"while":[50],"Supervised":[51],"Fine-Tuning":[52],"(SFT)":[53],"facilitates":[54],"fast":[55],"adaptation,":[56],"it":[57],"often":[58],"triggers":[59],"knowledge":[60],"overwriting,":[61],"whereas":[62],"Reinforcement":[63],"Learning":[64],"(RL)":[65],"demonstrates":[66],"inherent":[68],"resilience":[69],"shields":[71],"prior":[72],"interaction":[73],"logic":[74],"erasure.":[76],"Based":[77],"on":[78],"insight,":[80],"propose":[82],"a":[83,138],"\\textbf{C}ontinual":[84],"\\textbf{G}UI":[85],"\\textbf{L}earning":[86],"(CGL)":[87],"framework":[88,202],"dynamically":[90,118],"balances":[91],"adaptation":[92],"efficiency":[93],"and":[94,103,126,185,210],"skill":[95],"retention":[96],"by":[97,114],"enhancing":[98],"synergy":[100],"between":[101,123],"SFT":[102,109,125,146,159],"RL.":[104],"Specifically,":[105],"introduce":[107],"proportion":[110],"adjustment":[111],"mechanism":[112],"guided":[113],"policy":[115],"entropy":[116],"control":[119],"weight":[121],"allocation":[122],"RL":[127],"training":[128],"phases.":[129],"To":[130],"resolve":[131],"explicit":[132],"gradient":[133,140],"interference,":[134],"further":[136],"develop":[137],"specialized":[139],"surgery":[141],"strategy.":[142],"By":[143],"projecting":[144],"exploratory":[145],"gradients":[147,160],"onto":[148],"GRPO-based":[149],"anchor":[150],"gradients,":[151],"our":[152,199],"method":[153],"explicitly":[154],"clips":[155],"components":[157],"conflict":[162],"with":[163],"GRPO.":[164],"On":[165],"top":[166],"that,":[168],"establish":[170],"AndroidControl-CL":[172],"benchmark,":[173,208],"which":[174],"divides":[175],"applications":[177],"into":[178],"distinct":[179],"task":[180],"groups":[181],"effectively":[183],"simulate":[184],"evaluate":[186],"performance":[188],"learning.":[192],"Experimental":[193],"results":[194],"demonstrate":[195],"effectiveness":[197],"proposed":[200],"CGL":[201],"across":[203],"scenarios.":[206],"The":[207],"code,":[209],"model":[211],"will":[212],"be":[213],"made":[214],"publicly":[215],"available.":[216]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-03-05T00:00:00"}
