{"id":"https://openalex.org/W7160620755","doi":"https://doi.org/10.48550/arxiv.2605.05909","title":"Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning","display_name":"Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning","publication_year":2026,"publication_date":"2026-05-07","ids":{"openalex":"https://openalex.org/W7160620755","doi":"https://doi.org/10.48550/arxiv.2605.05909"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.05909","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05909","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.2605.05909","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135688998","display_name":"Yuhang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113948735","display_name":"Zhenxing Niu","orcid":"https://orcid.org/0000-0003-1660-5138"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Zhenxing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101370353","display_name":"Haoxuan Ji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ji, Haoxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135651568","display_name":"Guangyu He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Guangyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135725208","display_name":"Linlin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Linlin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135711406","display_name":"Haichang Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Haichang","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9296000003814697,"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":0.9296000003814697,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.03620000183582306,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.7627000212669373},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4523000121116638},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4189999997615814},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3919999897480011},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.38600000739097595},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.35929998755455017},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.3181999921798706}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7627000212669373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6808000206947327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6017000079154968},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4505999982357025},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3190000057220459},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.3181999921798706},{"id":"https://openalex.org/C2780878386","wikidata":"https://www.wikidata.org/wiki/Q1659648","display_name":"Visual language","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C207363949","wikidata":"https://www.wikidata.org/wiki/Q462915","display_name":"Visual space","level":3,"score":0.27459999918937683},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.26089999079704285},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.05909","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05909","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.2605.05909","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05909","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":[{"id":"https://metadata.un.org/sdg/10","score":0.4419057369232178,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"core":[1],"challenge":[2,29],"of":[3,22,108],"machine":[4],"unlearning":[5,55,81,132,147],"is":[6,36],"to":[7,59,96,153],"strike":[8],"a":[9,90,171],"balance":[10,173],"between":[11,174],"target":[12,61,98,109],"knowledge":[13,17,35,63,68,100,128,142,179],"removal":[14],"and":[15,41,69,79,129,177],"non-target":[16,66],"retention.":[18,143,180],"In":[19,48],"the":[20,76,84,106,116,122,131],"context":[21],"Multimodal":[23],"Large":[24],"Language":[25],"Models":[26],"(MLLMs),":[27],"this":[28,49,135],"becomes":[30],"even":[31],"more":[32],"pronounced,":[33],"as":[34],"further":[37],"divided":[38],"into":[39],"visual":[40,62,67,85,99,103,110],"textual":[42,71],"modalities":[43],"that":[44,57,167],"are":[45],"tightly":[46],"intertwined.":[47],"paper,":[50],"we":[51,74,88,120,149],"introduce":[52],"an":[53],"MLLM":[54],"approach":[56,152,169],"aims":[58],"forget":[60],"while":[64],"preserving":[65],"all":[70],"knowledge.":[72],"Specifically,":[73],"freeze":[75],"LLM":[77],"backbone":[78],"achieve":[80],"by":[82],"fine-tuning":[83],"module.":[86],"First,":[87],"propose":[89],"Contrastive":[91],"Visual":[92],"Forgetting":[93],"(CVF)":[94],"mechanism":[95],"separate":[97],"from":[101],"retained":[102,127],"knowledge,":[104],"guiding":[105],"representations":[107],"concepts":[111],"toward":[112],"appropriate":[113],"regions":[114],"in":[115,141],"feature":[117],"space.":[118],"Second,":[119],"identify":[121],"null":[123],"space":[124],"associated":[125],"with":[126],"constrain":[130],"process":[133],"within":[134],"space,":[136],"thereby":[137],"significantly":[138],"mitigating":[139],"degradation":[140],"Third,":[144],"beyond":[145],"static":[146],"scenarios,":[148],"extend":[150],"our":[151,168],"continual":[154],"unlearning,":[155],"where":[156],"forgetting":[157,176],"requests":[158],"arrive":[159],"sequentially.":[160],"Extensive":[161],"experiments":[162],"across":[163],"diverse":[164],"benchmarks":[165],"demonstrate":[166],"achieves":[170],"strong":[172],"effective":[175],"robust":[178]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-09T00:00:00"}
