{"id":"https://openalex.org/W7163209327","doi":"https://doi.org/10.48550/arxiv.2606.02502","title":"CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuning","display_name":"CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuning","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163209327","doi":"https://doi.org/10.48550/arxiv.2606.02502"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.02502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.02502","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.02502","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124898394","display_name":"Jun-Tao Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Jun-Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124935476","display_name":"Zhen-Hao Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Zhen-Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000905854","display_name":"Yu-Cheng Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Yu-Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137649638","display_name":"Da-Wei Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Da-Wei","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":0.8361999988555908,"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":0.8361999988555908,"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":0.06449999660253525,"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":0.026599999517202377,"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":0.6766999959945679},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6371999979019165},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5788999795913696},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.5289999842643738},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5022000074386597},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.47040000557899475},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.3727000057697296},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3659000098705292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108999729156494},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6766999959945679},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6371999979019165},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5788999795913696},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.5289999842643738},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5022000074386597},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.47040000557899475},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4269999861717224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3919999897480011},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3441999852657318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.329800009727478},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.32850000262260437},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.2694000005722046},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C2984968299","wikidata":"https://www.wikidata.org/wiki/Q1077784","display_name":"Software tool","level":3,"score":0.25609999895095825},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C174683762","wikidata":"https://www.wikidata.org/wiki/Q609588","display_name":"Component-based software engineering","level":4,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.02502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.02502","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.02502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.02502","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0,25],"Large":[1],"Language":[2],"Models":[3],"(MLLMs)":[4],"unify":[5],"heterogeneous":[6,53],"vision-language":[7],"tasks":[8,36,54],"under":[9],"a":[10,38],"shared":[11,39],"generative":[12],"framework":[13],"via":[14],"instruction":[15],"tuning,":[16],"yet":[17],"real-world":[18],"deployment":[19],"demands":[20],"continuous":[21],"capability":[22,109,114],"expansion,":[23],"making":[24],"Continual":[26],"Instruction":[27],"Tuning":[28],"(MCIT)":[29],"essential.":[30],"Existing":[31],"methods":[32],"either":[33],"update":[34],"all":[35],"with":[37],"parameter":[40,70,100],"set":[41],"or":[42],"allocate":[43,121],"dedicated":[44],"modules":[45],"for":[46],"each":[47],"new":[48,116,145],"task.":[49],"Shared":[50],"updates":[51,146],"force":[52],"to":[55,106,147],"compete,":[56],"causing":[57],"forgetting":[58,94],"of":[59],"learned":[60],"capabilities.":[61],"Conversely,":[62],"isolated":[63],"expansion":[64],"prevents":[65],"interference":[66],"but":[67],"severely":[68],"limits":[69],"efficiency":[71],"over":[72,163],"long":[73],"task":[74,117],"streams.":[75],"To":[76,97,126],"address":[77],"this":[78],"dilemma,":[79],"we":[80,102],"propose":[81],"CRAM.":[82],"Specifically,":[83],"by":[84],"isolating":[85],"task-specific":[86,148],"patterns":[87],"into":[88],"independent":[89],"modules,":[90],"CRAM":[91],"mitigates":[92],"catastrophic":[93],"across":[95,156],"tasks.":[96],"further":[98],"boost":[99],"efficiency,":[101],"utilize":[103],"adaptive-rank":[104],"instantiation":[105],"identify":[107],"the":[108,123],"gap":[110],"between":[111],"existing":[112,137,164],"expert":[113],"and":[115,119,135],"demands,":[118],"dynamically":[120],"only":[122],"necessary":[124],"parameters.":[125],"ensure":[127],"stable":[128],"reuse":[129],"among":[130],"tasks,":[131],"centroid-guided":[132],"routing":[133],"recognizes":[134],"activates":[136],"experts'":[138],"capabilities,":[139],"while":[140],"an":[141],"orthogonality":[142],"penalty":[143],"confines":[144],"directions,":[149],"preventing":[150],"re-learning":[151],"general":[152],"capability.":[153],"Extensive":[154],"experiments":[155],"diverse":[157],"benchmarks":[158],"consistently":[159],"demonstrate":[160],"its":[161],"superiority":[162],"methods.":[165]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-03T00:00:00"}