{"id":"https://openalex.org/W4416250390","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229142","title":"Bidirectional Multitask Learning for Non-Autoregressive Machine Translation","display_name":"Bidirectional Multitask Learning for Non-Autoregressive Machine Translation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250390","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229142"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5101654432","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0003-4321-9881"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Songsheng Wang","raw_affiliation_strings":["NLP2CT Lab University of Macau,Macau,China"],"affiliations":[{"raw_affiliation_string":"NLP2CT Lab University of Macau,Macau,China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669792","display_name":"Shijie Zhang","orcid":"https://orcid.org/0000-0002-9606-9955"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Shijie Zhang","raw_affiliation_strings":["NLP2CT Lab University of Macau,Macau,China"],"affiliations":[{"raw_affiliation_string":"NLP2CT Lab University of Macau,Macau,China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088634717","display_name":"Zhihang Yuan","orcid":"https://orcid.org/0000-0003-4259-4719"},"institutions":[{"id":"https://openalex.org/I4210145118","display_name":"Infinitus (China)","ror":"https://ror.org/03pchte23","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145118"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihang Yuan","raw_affiliation_strings":["Infinigence AI,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Infinigence AI,Beijing,China","institution_ids":["https://openalex.org/I4210145118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071278473","display_name":"Dongkun Wang","orcid":"https://orcid.org/0000-0001-7990-6152"},"institutions":[{"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":"Dongkun Wang","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101468579","display_name":"Derek F. Wong","orcid":"https://orcid.org/0000-0002-5307-7322"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Derek F. Wong","raw_affiliation_strings":["NLP2CT Lab University of Macau,Macau,China"],"affiliations":[{"raw_affiliation_string":"NLP2CT Lab University of Macau,Macau,China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101654432"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34350657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.19449999928474426,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.19449999928474426,"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/T10028","display_name":"Topic Modeling","score":0.12790000438690186,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.09350000321865082,"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/transformer","display_name":"Transformer","score":0.7746999859809875},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7480999827384949},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6327000260353088},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45660001039505005},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4496999979019165},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4219000041484833},{"id":"https://openalex.org/keywords/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.33169999718666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7929999828338623},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7746999859809875},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7480999827384949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6606000065803528},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6327000260353088},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5314000248908997},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45660001039505005},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4496999979019165},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.33169999718666077},{"id":"https://openalex.org/C622187","wikidata":"https://www.wikidata.org/wiki/Q3500773","display_name":"BLEU","level":3,"score":0.32100000977516174},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.30630001425743103},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.2987000048160553},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2689000070095062},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2101105183","https://openalex.org/W2127141656","https://openalex.org/W2886776719","https://openalex.org/W2913340405","https://openalex.org/W2933138175","https://openalex.org/W2935811960","https://openalex.org/W2996987694","https://openalex.org/W2999635570","https://openalex.org/W3035490389","https://openalex.org/W3100753857","https://openalex.org/W3168577192","https://openalex.org/W3172669006","https://openalex.org/W3175665465","https://openalex.org/W4285258432","https://openalex.org/W4285275708","https://openalex.org/W4385245566","https://openalex.org/W4385570754","https://openalex.org/W4385571900","https://openalex.org/W4385572963"],"related_works":[],"abstract_inverted_index":{"Non-Autoregressive":[0,40,62],"Transformer":[1,15,63],"(NART)":[2],"models":[3,111,133],"generate":[4],"tokens":[5],"independently,":[6],"resulting":[7],"in":[8,36,82,134,168],"lower":[9],"translation":[10],"quality":[11,129],"than":[12],"the":[13,20,39,48,59,68,87,93,99,124,140,161,165,178],"Autoregressive":[14,32,53,94],"(ART)":[16],"model.":[17],"To":[18,85],"enhance":[19,92],"generation":[21,128],"quality,":[22],"prior":[23],"Multitask":[24,61],"Learning":[25],"(MTL)":[26],"frameworks":[27],"have":[28],"incorporated":[29],"a":[30,73,147],"directional":[31,109],"(AR)":[33],"prediction":[34,55,79],"task":[35],"conjunction":[37],"with":[38,51,72,98,122,151],"(NAR)":[41],"task.":[42],"This":[43],"work":[44],"proposes":[45],"further":[46,91,158],"enhancing":[47],"NART":[49,69,183],"model":[50,71,167],"Bidirectional":[52,60,102],"(Bi-AR)":[54],"tasks.":[56],"We":[57],"propose":[58],"(BM-NART)":[64],"framework,":[65],"which":[66,106],"enhances":[67],"decoder":[70],"weak":[74],"twin-decoder":[75],"block,":[76],"providing":[77],"AR":[78],"supervision":[80],"signal":[81],"both":[83],"directions.":[84],"accommodate":[86],"bidirectional":[88],"decoder,":[89],"we":[90],"Knowledge":[95,103],"Distillation":[96,104],"(ARKD)":[97],"introduction":[100],"of":[101,142,181],"(BiKD),":[105],"employs":[107],"dual":[108],"teacher":[110],"to":[112,131],"provide":[113],"Bi-AR":[114],"knowledge":[115],"distillation":[116],"data.":[117],"The":[118],"experiment":[119],"confirms":[120],"that":[121,160],"BiKD,":[123],"BM-NART":[125,162],"framework":[126,163],"achieves":[127],"comparable":[130],"ART":[132,166],"BLEU":[135],"and":[136,174],"BERTScore":[137],"while":[138],"retaining":[139],"advantage":[141],"high":[143],"parallel":[144],"generation,":[145],"achieving":[146],"13.7-20":[148],"times":[149],"acceleration":[150],"various":[152],"parameter":[153],"scalings.":[154],"Our":[155],"LLM-based":[156],"analysis":[157],"reveals":[159],"surpasses":[164],"handling":[169],"ambiguous":[170],"translations,":[171,173],"knowledge-dependent":[172],"reducing":[175],"hallucinations,":[176],"illustrating":[177],"substantial":[179],"potential":[180],"future":[182],"models.<sup":[184],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[185],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[186]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}
