{"id":"https://openalex.org/W7138337753","doi":"https://doi.org/10.48550/arxiv.2603.14228","title":"Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation","display_name":"Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation","publication_year":2026,"publication_date":"2026-03-15","ids":{"openalex":"https://openalex.org/W7138337753","doi":"https://doi.org/10.48550/arxiv.2603.14228"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.14228","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14228","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.14228","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129745596","display_name":"Xi Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Xi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017617692","display_name":"Cong Ma","orcid":"https://orcid.org/0000-0001-7568-1347"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Chenrui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129663914","display_name":"Yunbei Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yunbei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129717867","display_name":"Chen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Zhuxuanzi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhuxuanzi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031761785","display_name":"Yanshu Li","orcid":"https://orcid.org/0000-0001-7683-806X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yanshu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129678738","display_name":"Lin Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120319790","display_name":"Guosheng Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Guosheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129684141","display_name":"Tianyang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Tianyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129645023","display_name":"Hao Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.7857999801635742,"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":0.7857999801635742,"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":0.05260000005364418,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.024399999529123306,"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/focus","display_name":"Focus (optics)","score":0.646399974822998},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6338000297546387},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6040999889373779},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5877000093460083},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5473999977111816},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4625999927520752},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3944000005722046},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.3285999894142151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591000199317932},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.646399974822998},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6338000297546387},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6040999889373779},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5877000093460083},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5473999977111816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4700999855995178},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4625999927520752},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32359999418258667},{"id":"https://openalex.org/C45983554","wikidata":"https://www.wikidata.org/wiki/Q3412851","display_name":"Information quality","level":3,"score":0.28700000047683716},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C2780616401","wikidata":"https://www.wikidata.org/wiki/Q1133673","display_name":"Cornerstone","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.14228","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14228","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.14228","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14228","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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Low-Rank":[0],"Adaptation":[1],"(LoRA)":[2],"has":[3],"become":[4],"a":[5,48,55,74,110,167],"cornerstone":[6],"of":[7,159,171],"parameter-efficient":[8],"fine-tuning":[9],"(PEFT).":[10],"Yet,":[11],"its":[12],"efficacy":[13],"is":[14],"hampered":[15],"by":[16,22],"two":[17],"fundamental":[18],"limitations:":[19],"semantic":[20,70],"drift,":[21,71],"treating":[23],"all":[24],"update":[25],"directions":[26,67],"with":[27,151],"equal":[28],"importance,":[29],"and":[30,72,97,103,124,136,174],"structural":[31,85,175],"incoherence,":[32],"from":[33,162],"adapting":[34],"layers":[35],"independently,":[36],"resulting":[37],"in":[38,133],"suboptimal,":[39],"uncoordinated":[40],"updates.":[41],"To":[42],"remedy":[43],"these,":[44],"we":[45],"propose":[46],"StructLoRA,":[47],"framework":[49],"that":[50,64,79,106],"addresses":[51],"both":[52],"limitations":[53],"through":[54],"principled,":[56],"dual-component":[57],"design:":[58],"(1)":[59],"an":[60],"Information":[61],"Bottleneck-guided":[62],"filter":[63],"prunes":[65],"task-irrelevant":[66],"to":[68,83,166],"mitigate":[69],"(2)":[73],"lightweight,":[75],"training-only":[76],"graph-based":[77],"coordinator":[78],"enforces":[80],"inter-layer":[81],"consistency":[82],"resolve":[84],"incoherence.":[86],"Extensive":[87],"experiments":[88],"across":[89],"large":[90],"language":[91,95],"model":[92,99],",":[93],"vision":[94,98],"model,":[96],"(including":[100],"LLaMA,":[101],"LLaVA,":[102],"ViT)":[104],"demonstrate":[105],"StructLoRA":[107,148],"consistently":[108],"establishes":[109],"new":[111],"state-of-the-art,":[112],"outperforming":[113],"not":[114],"only":[115,145],"vanilla":[116],"LoRA":[117],"but":[118],"also":[119],"advanced":[120],"dynamic":[121],"rank":[122],"allocation":[123],"sparsity-based":[125],"methods.":[126],"Notably,":[127],"the":[128,157],"benefits":[129],"are":[130],"particularly":[131],"pronounced":[132],"challenging":[134],"low-rank":[135],"low-data":[137],"regimes.":[138],"Crucially,":[139],"since":[140],"our":[141],"proposed":[142],"modules":[143],"operate":[144],"during":[146],"training,":[147],"enhances":[149],"performance":[150],"zero":[152],"additional":[153],"inference":[154],"cost,":[155],"advancing":[156],"focus":[158],"PEFT":[160],"--":[161],"mere":[163],"parameter":[164],"compression":[165],"more":[168],"holistic":[169],"optimization":[170],"information":[172],"quality":[173],"integrity.":[176]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}