{"id":"https://openalex.org/W7162696599","doi":"https://doi.org/10.1145/3774905.3795848","title":"Task-Aligned Unlearning for Multimodal Large Language Models","display_name":"Task-Aligned Unlearning for Multimodal Large Language Models","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7162696599","doi":"https://doi.org/10.1145/3774905.3795848"},"language":null,"primary_location":{"id":"doi:10.1145/3774905.3795848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774905.3795848","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774905.3795848","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137283160","display_name":"Tianyu Zhang","orcid":"https://orcid.org/0009-0006-4797-682X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0006-4797-682X","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129750109","display_name":"Chenlu Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenlu Ding","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5253-1714","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137304143","display_name":"Junfeng Fang","orcid":"https://orcid.org/0000-0002-3317-2103"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Junfeng Fang","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3317-2103","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020280128","display_name":"Jianmin Wu","orcid":"https://orcid.org/0000-0002-0999-9194"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancan Wu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6941-5218","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137256165","display_name":"Xiang Wang","orcid":"https://orcid.org/0000-0002-6148-6329"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6148-6329","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":"1386","last_page":"1390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.21690000593662262,"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/T10028","display_name":"Topic Modeling","score":0.21690000593662262,"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":0.13079999387264252,"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":0.11729999631643295,"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/natural-language","display_name":"Natural language","score":0.33059999346733093},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.29350000619888306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.28760001063346863},{"id":"https://openalex.org/keywords/language-understanding","display_name":"Language understanding","score":0.2728999853134155},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.266400009393692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6470000147819519},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4602999985218048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4375},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.382099986076355},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774905.3795848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774905.3795848","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774905.3795848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774905.3795848","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W3202838631","https://openalex.org/W4407049645","https://openalex.org/W4412889716","https://openalex.org/W4415541073"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"large":[1],"language":[2],"models":[3],"(MLLMs)":[4],"are":[5,71,78,125],"prone":[6],"to":[7,34,61,132],"memorizing":[8],"and":[9,18,90,113,120,151],"revealing":[10],"sensitive":[11],"personal":[12],"information,":[13],"raising":[14],"concerns":[15],"about":[16],"privacy":[17],"safety.":[19],"Existing":[20],"MLLM":[21],"unlearning":[22,53,95,153],"methods":[23],"typically":[24],"rely":[25],"on":[26,84,142],"a":[27,51,129],"single":[28],"forgetting":[29,36],"objective,":[30],"which":[31],"often":[32],"leads":[33],"unbalanced":[35],"across":[37,154],"tasks,":[38],"degraded":[39],"generation":[40],"quality,":[41],"or":[42],"unnecessary":[43],"loss":[44,131],"of":[45],"general":[46],"ability.":[47],"We":[48],"propose":[49],"TAU,":[50],"multimodal":[52,65],"framework":[54],"that":[55,100,146],"optimizes":[56],"multiple":[57],"task-aligned":[58,98],"objectives":[59,99,124],"corresponding":[60],"heterogeneous":[62],"tasks":[63],"in":[64],"benchmarks.":[66],"Although":[67],"all":[68],"training":[69],"data":[70],"uniformly":[72],"formatted":[73],"as":[74],"VQA-style":[75],"triplets,":[76],"MLLMs":[77,144],"evaluated":[79],"through":[80],"distinct":[81],"task":[82],"settings":[83],"MLLMU-Bench,":[85],"including":[86],"classification,":[87,108],"free-form":[88],"generation,":[89,112],"cloze-style":[91],"completion.":[92],"TAU":[93,147],"decomposes":[94],"into":[96],"three":[97],"target":[101],"different":[102,143],"behaviors:":[103],"reducing":[104],"discriminative":[105],"confidence":[106],"for":[107],"inducing":[109],"controlled":[110],"refusal":[111],"suppressing":[114],"entity\u2013attribute":[115],"recall":[116],"under":[117],"both":[118],"image-conditioned":[119],"text-only":[121],"prompts.":[122],"These":[123],"jointly":[126],"optimized":[127],"with":[128],"retain":[130],"effectively":[133],"forget":[134],"designated":[135],"information":[136],"while":[137],"preserving":[138],"non-target":[139],"knowledge.":[140],"Experiments":[141],"demonstrate":[145],"achieves":[148],"more":[149],"balanced":[150],"effective":[152],"tasks.":[155]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-29T00:00:00"}
