{"id":"https://openalex.org/W7148926116","doi":"https://doi.org/10.48550/arxiv.2604.01514","title":"Why Instruction-Based Unlearning Fails in Diffusion Models?","display_name":"Why Instruction-Based Unlearning Fails in Diffusion Models?","publication_year":2026,"publication_date":"2026-04-02","ids":{"openalex":"https://openalex.org/W7148926116","doi":"https://doi.org/10.48550/arxiv.2604.01514"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.01514","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01514","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.01514","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132866615","display_name":"Zeliang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zeliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132904288","display_name":"Rui Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031995512","display_name":"Jiani Liu","orcid":"https://orcid.org/0000-0003-0679-457X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132898812","display_name":"Qi Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132871049","display_name":"Chenliang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Chenliang","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.39660000801086426,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.39660000801086426,"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/T12090","display_name":"Language and cultural evolution","score":0.15970000624656677,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.058400001376867294,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5659000277519226},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5318999886512756},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.38089999556541443},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.2808000147342682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.588699996471405},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5659000277519226},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5318999886512756},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.4410000145435333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4318000078201294},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34860000014305115},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28049999475479126},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2685000002384186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.01514","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01514","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":"doi:10.48550/arxiv.2604.01514","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01514","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":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6655105948448181}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Instruction-based":[0],"unlearning":[1,33,64,83,122],"has":[2],"proven":[3],"effective":[4,121],"for":[5],"modifying":[6],"the":[7,69,77,93,98],"behavior":[8],"of":[9,112],"large":[10],"language":[11,127],"models":[12,24,38,52,117],"at":[13],"inference":[14],"time,":[15],"but":[16],"whether":[17],"this":[18,28],"paradigm":[19],"extends":[20],"to":[21,55,92,102],"other":[22],"generative":[23],"remains":[25],"unclear.":[26],"In":[27],"work,":[29],"we":[30,80],"investigate":[31],"instruction-based":[32],"in":[34,90,115],"diffusion-based":[35],"image":[36],"generation":[37],"and":[39,47,73,118],"show,":[40],"through":[41],"controlled":[42],"experiments":[43],"across":[44],"multiple":[45],"concepts":[46,58],"prompt":[48],"variants,":[49],"that":[50,82,120],"diffusion":[51,116],"systematically":[53],"fail":[54],"suppress":[56],"targeted":[57,94,99],"when":[59],"guided":[60],"solely":[61],"by":[62],"natural-language":[63],"instructions.":[65],"By":[66],"analyzing":[67],"both":[68],"CLIP":[70],"text":[71],"encoder":[72],"cross-attention":[74],"dynamics":[75],"during":[76],"denoising":[78],"process,":[79],"find":[81],"instructions":[84],"do":[85],"not":[86],"induce":[87],"sustained":[88],"reductions":[89],"attention":[91],"concept":[95,100],"tokens,":[96],"causing":[97],"representations":[101],"persist":[103],"throughout":[104],"generation.":[105],"These":[106],"results":[107],"reveal":[108],"a":[109],"fundamental":[110],"limitation":[111],"prompt-level":[113],"instruction":[114],"suggest":[119],"requires":[123],"interventions":[124],"beyond":[125],"inference-time":[126],"control.":[128]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-04T00:00:00"}
