{"id":"https://openalex.org/W4391021373","doi":"https://doi.org/10.1109/asru57964.2023.10389663","title":"Prompt Pool Based Class-Incremental Continual Learning for Dialog State Tracking","display_name":"Prompt Pool Based Class-Incremental Continual Learning for Dialog State Tracking","publication_year":2023,"publication_date":"2023-12-16","ids":{"openalex":"https://openalex.org/W4391021373","doi":"https://doi.org/10.1109/asru57964.2023.10389663"},"language":"en","primary_location":{"id":"doi:10.1109/asru57964.2023.10389663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru57964.2023.10389663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079533791","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-2167-9396"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Tsinghua University,Speech Processing and Machine Intelligence (SPMI) Lab,Beijing,China","Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","Speech Processing and Machine Intelligence (SPMI) Lab, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Speech Processing and Machine Intelligence (SPMI) Lab,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Speech Processing and Machine Intelligence (SPMI) Lab, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050588540","display_name":"Yucheng Cai","orcid":"https://orcid.org/0009-0005-3764-5560"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Cai","raw_affiliation_strings":["Tsinghua University,Speech Processing and Machine Intelligence (SPMI) Lab,Beijing,China","Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","Speech Processing and Machine Intelligence (SPMI) Lab, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Speech Processing and Machine Intelligence (SPMI) Lab,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Speech Processing and Machine Intelligence (SPMI) Lab, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049853160","display_name":"Yuan Zhou","orcid":"https://orcid.org/0000-0002-9198-6586"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhou","raw_affiliation_strings":["Tsinghua University,Speech Processing and Machine Intelligence (SPMI) Lab,Beijing,China","Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","Speech Processing and Machine Intelligence (SPMI) Lab, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Speech Processing and Machine Intelligence (SPMI) Lab,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Speech Processing and Machine Intelligence (SPMI) Lab, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010173604","display_name":"Zhijian Ou","orcid":"https://orcid.org/0000-0002-9018-5074"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Ou","raw_affiliation_strings":["Tsinghua University,Speech Processing and Machine Intelligence (SPMI) Lab,Beijing,China","Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","Speech Processing and Machine Intelligence (SPMI) Lab, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Speech Processing and Machine Intelligence (SPMI) Lab,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Speech Processing and Machine Intelligence (SPMI) Lab, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101519937","display_name":"Yi Huang","orcid":"https://orcid.org/0000-0002-2169-9004"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Huang","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China","Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265","https://openalex.org/I99065089"]},{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079750750","display_name":"Junlan Feng","orcid":"https://orcid.org/0000-0001-5292-2945"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlan Feng","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China","China Mobile Research Institute, Beijing, China","Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.996399998664856,"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/T10028","display_name":"Topic Modeling","score":0.996399998664856,"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/T12031","display_name":"Speech and dialogue systems","score":0.984499990940094,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9812999963760376,"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/dialog-box","display_name":"Dialog box","score":0.9182058572769165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8472158908843994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5883321166038513},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5600700974464417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5234265327453613},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.521755039691925},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4775286912918091},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.46297284960746765},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44995951652526855},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09679138660430908},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0831260085105896}],"concepts":[{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.9182058572769165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8472158908843994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5883321166038513},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5600700974464417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5234265327453613},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.521755039691925},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4775286912918091},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.46297284960746765},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44995951652526855},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09679138660430908},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0831260085105896},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru57964.2023.10389663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru57964.2023.10389663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","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":39,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W2187089797","https://openalex.org/W2468710617","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2749436976","https://openalex.org/W2798914047","https://openalex.org/W2939137134","https://openalex.org/W2948743095","https://openalex.org/W2963096017","https://openalex.org/W2963797754","https://openalex.org/W2964101860","https://openalex.org/W2964189064","https://openalex.org/W2970390493","https://openalex.org/W2970476646","https://openalex.org/W2970641574","https://openalex.org/W2990138404","https://openalex.org/W2997108628","https://openalex.org/W2997771882","https://openalex.org/W3098267758","https://openalex.org/W3100152912","https://openalex.org/W3153427360","https://openalex.org/W3169483174","https://openalex.org/W3173777717","https://openalex.org/W3175994953","https://openalex.org/W4205340316","https://openalex.org/W4205991051","https://openalex.org/W4285309825","https://openalex.org/W4288089799","https://openalex.org/W4288336773","https://openalex.org/W4295200480","https://openalex.org/W4312238419","https://openalex.org/W4319862687","https://openalex.org/W4319988532","https://openalex.org/W6741087337","https://openalex.org/W6747481691","https://openalex.org/W6769627184","https://openalex.org/W6778883912","https://openalex.org/W6849896277"],"related_works":["https://openalex.org/W2098987383","https://openalex.org/W2417260800","https://openalex.org/W1596203174","https://openalex.org/W2117933979","https://openalex.org/W2283130723","https://openalex.org/W103938586","https://openalex.org/W2104718772","https://openalex.org/W4233992201","https://openalex.org/W2292950558","https://openalex.org/W2368721880"],"abstract_inverted_index":{"Continual":[0],"learning":[1,27,52],"is":[2,37,63],"crucial":[3],"for":[4,16,29],"dialog":[5,10,79,110,144],"state":[6],"tracking":[7],"(DST)":[8],"in":[9,41,55,65],"systems,":[11,80],"since":[12],"requirements":[13],"from":[14,101,141],"users":[15],"new":[17],"functionalities":[18],"are":[19],"often":[20],"encountered.":[21],"However,":[22],"most":[23],"of":[24,53,94],"existing":[25],"continual":[26,51],"methods":[28],"DST":[30,54],"require":[31],"task":[32,61],"identities":[33],"during":[34,127],"testing,":[35],"which":[36],"a":[38,92,142,166],"severe":[39],"limit":[40],"real-world":[42,143],"applications.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47,81,90],"aim":[48],"to":[49,83,105],"address":[50],"the":[56,60,69,85,102,106,109,113,150,161,169],"class-incremental":[57],"scenario":[58],"(namely":[59],"identity":[62],"unknown":[64],"testing).":[66],"Inspired":[67],"by":[68],"recently":[70],"emerging":[71],"prompt":[72,86,114,151],"tuning":[73],"method":[74,118,153],"that":[75,149],"performs":[76],"well":[77],"on":[78,132],"propose":[82],"use":[84],"pool":[87,93,103,152],"method,":[88],"where":[89],"maintain":[91],"key-value":[95],"paired":[96],"prompts":[97,100,126],"and":[98,112,123,137],"select":[99,124],"according":[104],"distance":[107],"between":[108],"history":[111],"keys.":[115],"The":[116],"proposed":[117],"can":[119,172],"automatically":[120],"identify":[121],"tasks":[122],"appropriate":[125],"testing.":[128],"We":[129],"conduct":[130],"experiments":[131],"Schema-Guided":[133],"Dialog":[134],"dataset":[135,139],"(SGD)":[136],"another":[138],"collected":[140],"application.":[145],"Experiment":[146],"results":[147],"show":[148],"achieves":[154],"much":[155],"higher":[156],"joint":[157],"goal":[158],"accuracy":[159],"than":[160],"baseline.":[162],"After":[163],"combining":[164],"with":[165],"rehearsal":[167],"buffer,":[168],"model":[170],"performance":[171],"be":[173],"further":[174],"improved.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}