{"id":"https://openalex.org/W4406880133","doi":"https://doi.org/10.48550/arxiv.2501.15103","title":"Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning","display_name":"Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning","publication_year":2025,"publication_date":"2025-01-25","ids":{"openalex":"https://openalex.org/W4406880133","doi":"https://doi.org/10.48550/arxiv.2501.15103"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2501.15103","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.15103","pdf_url":"https://arxiv.org/pdf/2501.15103","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2501.15103","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075762594","display_name":"Ziyu Zhao","orcid":"https://orcid.org/0000-0003-1460-2777"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Ziyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044746363","display_name":"Yixiao Zhou","orcid":"https://orcid.org/0000-0001-7712-2776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yixiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang, Zhi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038022012","display_name":"Didi Zhu","orcid":"https://orcid.org/0009-0004-6892-5357"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Didi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086903789","display_name":"Tao Shen","orcid":"https://orcid.org/0009-0005-7086-8803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Li, Zexi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zexi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yang, Jinluan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Jinluan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068832926","display_name":"Xuwu Wang","orcid":"https://orcid.org/0000-0003-3363-570X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xuwu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030942521","display_name":"Jing Su","orcid":"https://orcid.org/0000-0001-7636-2946"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Su, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041727387","display_name":"Kun Kuang","orcid":"https://orcid.org/0000-0001-7024-9790"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuang, Kun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011504177","display_name":"Zhongyu Wei","orcid":"https://orcid.org/0000-0003-3789-8507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Zhongyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073055826","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0001-5137-887X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Fei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101580521","display_name":"Yu Cheng","orcid":"https://orcid.org/0000-0002-2315-5641"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Yu","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":true,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8511000275611877,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8511000275611877,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.8083999752998352,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.8019999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7298427820205688},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6953523755073547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.516016960144043},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.42928963899612427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39778053760528564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38135185837745667},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3444637060165405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22578465938568115},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11780184507369995},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06653094291687012},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.06333222985267639}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7298427820205688},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6953523755073547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.516016960144043},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.42928963899612427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39778053760528564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38135185837745667},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3444637060165405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22578465938568115},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11780184507369995},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06653094291687012},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.06333222985267639}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2501.15103","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.15103","pdf_url":"https://arxiv.org/pdf/2501.15103","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2501.15103","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2501.15103","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":"pmh:oai:arXiv.org:2501.15103","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.15103","pdf_url":"https://arxiv.org/pdf/2501.15103","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406880133.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W2368816706","https://openalex.org/W3159414774","https://openalex.org/W4385728102","https://openalex.org/W3160516639"],"abstract_inverted_index":{"Low-Rank":[0],"Adaptation":[1],"(LoRA)":[2],"is":[3,103],"widely":[4],"used":[5],"for":[6],"adapting":[7],"large":[8],"language":[9],"models":[10],"(LLMs)":[11],"to":[12,16,66,106,133],"specific":[13],"domains":[14],"due":[15],"its":[17],"efficiency":[18],"and":[19,85,109,128],"modularity.":[20],"Meanwhile,":[21],"vanilla":[22],"LoRA":[23,41,53,84,122,150,156],"struggles":[24],"with":[25],"task":[26,48,178],"conflicts":[27],"in":[28,191],"multi-task":[29,192],"scenarios.":[30,193],"Recent":[31],"works":[32],"adopt":[33],"Mixture":[34,147],"of":[35,100,148],"Experts":[36,149],"(MoE)":[37],"by":[38,157],"treating":[39],"each":[40,159],"module":[42],"as":[43,161],"an":[44,162],"expert,":[45],"thereby":[46],"mitigating":[47,177],"interference":[49],"through":[50],"multiple":[51,101],"specialized":[52],"modules.":[54],"While":[55],"effective,":[56],"these":[57,142],"methods":[58],"often":[59],"isolate":[60],"knowledge":[61,71,174],"within":[62,112,124],"individual":[63],"tasks,":[64],"failing":[65],"fully":[67],"exploit":[68],"the":[69,97,125],"shared":[70],"across":[72,137],"related":[73],"tasks.":[74,139],"In":[75],"this":[76],"paper,":[77],"we":[78,144],"establish":[79],"a":[80,91,113,166],"connection":[81],"between":[82],"single":[83,114],"multi-LoRA":[86],"MoE,":[87],"integrating":[88],"them":[89],"into":[90,155],"unified":[92],"framework.":[93],"We":[94,116],"demonstrate":[95,119,181],"that":[96,120,182],"dynamic":[98],"routing":[99],"LoRAs":[102],"functionally":[104],"equivalent":[105],"rank":[107,160],"partitioning":[108],"block-level":[110],"activation":[111],"LoRA.":[115],"further":[117],"empirically":[118],"finer-grained":[121,173],"partitioning,":[123],"same":[126],"total":[127],"activated":[129],"parameter":[130],"constraints,":[131],"leads":[132],"better":[134,189],"performance":[135,190],"gains":[136],"heterogeneous":[138],"Building":[140],"on":[141],"findings,":[143],"propose":[145],"Single-ranked":[146],"(\\textbf{SMoRA}),":[151],"which":[152],"embeds":[153],"MoE":[154],"\\textit{treating":[158],"independent":[163],"expert}.":[164],"With":[165],"\\textit{dynamic":[167],"rank-wise":[168],"activation}":[169],"mechanism,":[170],"SMoRA":[171,183],"promotes":[172],"sharing":[175],"while":[176],"conflicts.":[179],"Experiments":[180],"activates":[184],"fewer":[185],"parameters":[186],"yet":[187],"achieves":[188]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
