{"id":"https://openalex.org/W4408345589","doi":"https://doi.org/10.1109/icassp49660.2025.10888133","title":"HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models","display_name":"HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345589","doi":"https://doi.org/10.1109/icassp49660.2025.10888133"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114425614","display_name":"Bingshen Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingshen Mu","raw_affiliation_strings":["Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU), School of Computer Science,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU), School of Computer Science,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649112","display_name":"Kun Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Wei","raw_affiliation_strings":["Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU), School of Computer Science,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU), School of Computer Science,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114425616","display_name":"Qijie Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijie Shao","raw_affiliation_strings":["Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU), School of Computer Science,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU), School of Computer Science,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467338","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-4944-6890"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Tencent AI Lab,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab,Shenzhen,China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668966","display_name":"Lei Xie","orcid":"https://orcid.org/0000-0001-8234-0823"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xie","raw_affiliation_strings":["Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU), School of Computer Science,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU), School of Computer Science,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114425614"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":14.4724,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.98516994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.8037999868392944,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.8037999868392944,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.7991999983787537,"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/T10320","display_name":"Neural Networks and Applications","score":0.7872999906539917,"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/computer-science","display_name":"Computer science","score":0.7566523551940918},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.6262009739875793},{"id":"https://openalex.org/keywords/adaptive-routing","display_name":"Adaptive routing","score":0.5737079977989197},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"Fine-tuning","score":0.4324341118335724},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24254083633422852},{"id":"https://openalex.org/keywords/static-routing","display_name":"Static routing","score":0.2059381604194641},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.1586548388004303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7566523551940918},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.6262009739875793},{"id":"https://openalex.org/C24856439","wikidata":"https://www.wikidata.org/wiki/Q352483","display_name":"Adaptive routing","level":5,"score":0.5737079977989197},{"id":"https://openalex.org/C157524613","wikidata":"https://www.wikidata.org/wiki/Q2828883","display_name":"Fine-tuning","level":2,"score":0.4324341118335724},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24254083633422852},{"id":"https://openalex.org/C204948658","wikidata":"https://www.wikidata.org/wiki/Q1119410","display_name":"Static routing","level":4,"score":0.2059381604194641},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.1586548388004303},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2963242190","https://openalex.org/W3097777922","https://openalex.org/W3174770825","https://openalex.org/W3176828726","https://openalex.org/W3196117288","https://openalex.org/W3203407300","https://openalex.org/W4205991051","https://openalex.org/W4289828103","https://openalex.org/W4382202513","https://openalex.org/W4385245566","https://openalex.org/W4385823473","https://openalex.org/W4392903921","https://openalex.org/W4400903651","https://openalex.org/W4402671841","https://openalex.org/W4405709396","https://openalex.org/W6732520560","https://openalex.org/W6754473786","https://openalex.org/W6759579507","https://openalex.org/W6796581206","https://openalex.org/W6803401863","https://openalex.org/W6810738896","https://openalex.org/W6837789219","https://openalex.org/W6843384352","https://openalex.org/W6854866820","https://openalex.org/W6858115547","https://openalex.org/W6858588530","https://openalex.org/W6862222572","https://openalex.org/W6865284601","https://openalex.org/W6865454355","https://openalex.org/W6865554915","https://openalex.org/W6866685082","https://openalex.org/W6870165730","https://openalex.org/W6870775139","https://openalex.org/W6871553294"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2738408817","https://openalex.org/W2068680190"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,16,49,174,194],"integrating":[3],"Large":[4],"Language":[5],"Models":[6],"(LLM)":[7],"with":[8,90],"automatic":[9],"speech":[10],"recognition":[11],"(ASR)":[12],"have":[13],"performed":[14],"remarkably":[15],"general":[17,50,197],"domains.":[18,51],"While":[19],"supervised":[20],"fine-tuning":[21,61,173,190],"(SFT)":[22],"of":[23,93,139,157,183],"all":[24],"model":[25,165],"parameters":[26,186],"is":[27],"often":[28],"employed":[29],"to":[30,36,69,100,161,171],"adapt":[31],"pre-trained":[32,65],"LLM-based":[33,66,163],"ASR":[34,67,164],"models":[35,68],"specific":[37],"domains,":[38,115],"it":[39],"imposes":[40],"high":[41],"computational":[42],"costs":[43],"and":[44,81,96,113,150,191],"notably":[45],"reduces":[46],"their":[47],"performance":[48,170],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"a":[57,107],"novel":[58],"parameter-efficient":[59],"multi-domain":[60],"method":[62],"for":[63,128,188],"adapting":[64],"multi-accent":[70,149,177],"domains":[71,178],"without":[72],"catastrophic":[73],"forgetting":[74],"named":[75],"HDMoLE,":[76],"which":[77],"leverages":[78],"hierarchical":[79],"routing":[80,105],"dynamic":[82,132],"thresholds":[83,133],"based":[84],"on":[85,147],"combining":[86],"low-rank":[87],"adaptation":[88],"(LoRA)":[89],"the":[91,120,124,148,155,175,184,195],"mixture":[92],"experts":[94,112,141],"(MoE)":[95],"can":[97,134],"be":[98],"generalized":[99],"any":[101],"linear":[102],"layer.":[103,145],"Hierarchical":[104],"establishes":[106],"clear":[108],"correspondence":[109],"between":[110],"LoRA":[111,121,130,140],"accent":[114],"improving":[116],"cross-domain":[117],"collaboration":[118],"among":[119],"experts.":[122],"Unlike":[123],"static":[125],"Top-K":[126],"strategy":[127],"activating":[129],"experts,":[131],"adaptively":[135],"activate":[136],"varying":[137],"numbers":[138],"at":[142],"each":[143],"MoE":[144],"Experiments":[146],"standard":[151],"Mandarin":[152],"datasets":[153],"demonstrate":[154],"efficacy":[156],"HDMoLE.":[158],"Applying":[159],"HDMoLE":[160],"an":[162],"projector":[166],"module":[167],"achieves":[168],"similar":[169],"full":[172,189],"target":[176],"while":[179],"using":[180],"only":[181],"9.6%":[182],"trainable":[185],"required":[187],"minimal":[192],"degradation":[193],"source":[196],"domain.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}