{"id":"https://openalex.org/W4416034641","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.799","title":"LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed Distributions","display_name":"LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed Distributions","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416034641","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.799"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.799","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.799","pdf_url":"https://aclanthology.org/2025.findings-emnlp.799.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.799.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053884838","display_name":"Yiwei Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongju Jia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405301","display_name":"Jun Ma","orcid":"https://orcid.org/0000-0002-7566-4317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiarui Ma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029698374","display_name":"Xiangxian Li","orcid":"https://orcid.org/0000-0001-6638-2361"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangxian Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Baiqiao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baiqiao Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109426775","display_name":"Xianhui Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianhui Cao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446337","display_name":"Juan Liu","orcid":"https://orcid.org/0000-0003-3402-3123"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5076136047","display_name":"Yulong Bian","orcid":"https://orcid.org/0000-0003-0999-0656"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yulong Bian","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37038156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14809","last_page":"14822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5687000155448914,"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":0.5687000155448914,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.06129999831318855,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.03680000081658363,"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/stability","display_name":"Stability (learning theory)","score":0.3718999922275543},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.3718000054359436},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3296999931335449},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3197999894618988},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.29120001196861267}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5685999989509583},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3467999994754791},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3296999931335449},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3197999894618988},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29120001196861267},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.799","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.799","pdf_url":"https://aclanthology.org/2025.findings-emnlp.799.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-171580","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-171580","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.799","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.799","pdf_url":"https://aclanthology.org/2025.findings-emnlp.799.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416034641.pdf","grobid_xml":"https://content.openalex.org/works/W4416034641.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Pre-trained":[0],"vision-language":[1],"models":[2,29],"(VLMs),":[3],"such":[4],"as":[5],"CLIP,":[6],"have":[7,25],"demonstrated":[8],"impressive":[9],"capability":[10],"in":[11,21,44,53,144,163],"visual":[12,87],"tasks,":[13],"but":[14],"their":[15],"fine-tuning":[16,34,156],"often":[17,39],"suffers":[18],"from":[19],"bias":[20,51],"class-imbalanced":[22],"scenes.Recent":[23],"works":[24],"introduced":[26],"large":[27],"language":[28],"(LLMs)":[30],"to":[31,50],"enhance":[32],"VLM":[33,155],"withsupplementaryy":[35],"semantic":[36,128],"information.However,":[37],"they":[38],"overlook":[40],"inherent":[41],"class":[42],"imbalance":[43],"VLMs'":[45],"pre-training,":[46],"which":[47],"may":[48],"lead":[49],"accumulation":[52],"downstream":[54],"tasks.To":[55],"address":[56],"this":[57,59],"problem,":[58],"paper":[60],"proposes":[61],"a":[62,70,141,149],"Multi-dimensional":[63],"Dynamic":[64],"Prompt":[65],"Routing":[66],"(MDPR)":[67],"framework.MDPR":[68],"constructs":[69],"comprehensive":[71],"knowledge":[72],"base":[73],"for":[74,130,154],"classes,":[75,88],"spanning":[76],"multiple":[77],"visual-semantic":[78],"dimensions.During":[79],"fine-tuning,":[80],"the":[81,124],"dynamic":[82,137],"routing":[83,138],"mechanism":[84],"aligns":[85],"global":[86],"retrieves":[89],"optimal":[90],"prompts,":[91],"and":[92,109,133,151],"balances":[93],"finegrained":[94],"semantics,":[95],"yielding":[96],"stable":[97],"predictions":[98],"through":[99],"logits":[100],"fusion.Extensive":[101],"experiments":[102],"on":[103],"long-tailed":[104],"benchmarks,":[105],"including":[106],"CIFAR-LT,":[107],"ImageNet-LT,":[108],"Places-LT,":[110],"demonstrate":[111],"that":[112,135],"MDPR":[113,148],"achieves":[114],"comparable":[115],"results":[116],"with":[117,140],"current":[118],"SOTA":[119],"methods.Ablation":[120],"studies":[121],"further":[122],"confirm":[123],"effectiveness":[125],"of":[126],"our":[127,136],"library":[129],"tail":[131],"classes":[132],"show":[134],"operates":[139],"slight":[142],"increase":[143],"computational":[145],"overhead,":[146],"making":[147],"flexible":[150],"efficient":[152],"enhancement":[153],"under":[157],"data":[158],"imbalance.The":[159],"codes":[160],"are":[161],"available":[162],"https://github.com/Sha843/MDPR.":[164]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}