{"id":"https://openalex.org/W7126456183","doi":"https://doi.org/10.18653/v1/2022.wmt-1.65","title":"The RoyalFlush System for the WMT 2022 Efficiency Task","display_name":"The RoyalFlush System for the WMT 2022 Efficiency Task","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W7126456183","doi":"https://doi.org/10.18653/v1/2022.wmt-1.65"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2022.wmt-1.65","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.wmt-1.65","pdf_url":"https://aclanthology.org/2022.wmt-1.65.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":"Proceedings of the Seventh Conference on Machine Translation (WMT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2022.wmt-1.65.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111808632","display_name":"Bo Qin","orcid":"https://orcid.org/0000-0001-6015-7788"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Qin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005387798","display_name":"Aixin Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aixin Jia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124531866","display_name":"Qiang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124642028","display_name":"Jianning Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianning Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124668935","display_name":"Shuqin Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuqin Pan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328805","display_name":"Haibo Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haibo Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124593886","display_name":"Ming Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Chen","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":"671","last_page":"676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.13979999721050262,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.13979999721050262,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10126","display_name":"Logic, programming, and type systems","score":0.1096000000834465,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.0908999964594841,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6243000030517578},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.26019999384880066},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2303999960422516},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.21780000627040863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561999917030334},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6243000030517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5231999754905701},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2393999993801117},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2303999960422516},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.21780000627040863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2168000042438507},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.21619999408721924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21449999511241913}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2022.wmt-1.65","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.wmt-1.65","pdf_url":"https://aclanthology.org/2022.wmt-1.65.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":"Proceedings of the Seventh Conference on Machine Translation (WMT)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2022.wmt-1.65","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.wmt-1.65","pdf_url":"https://aclanthology.org/2022.wmt-1.65.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":"Proceedings of the Seventh Conference on Machine Translation (WMT)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7184652090072632}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126456183.pdf","grobid_xml":"https://content.openalex.org/works/W7126456183.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,6,13,19,38,81,121,131,142],"submission":[4],"of":[5,40,107],"ROY-ALFLUSH":[7],"neural":[8],"machine":[9],"translation":[10,16,23,29,82,118],"system":[11,126],"for":[12],"WMT":[14],"2022":[15],"efficiency":[17],"task.Unlike":[18],"commonly":[20],"used":[21],"autoregressive":[22,41],"system,":[24],"we":[25,76],"adopted":[26],"a":[27,49,54,73,105],"two-stage":[28],"paradigm":[30],"called":[31],"Hybrid":[32],"Regression":[33],"Translation":[34],"(HRT)":[35],"to":[36,136],"combine":[37],"advantages":[39],"and":[42,62,84,99,104,115],"non-autoregressive":[43,74],"translation.Specifically,":[44],"HRT":[45,110],"first":[46],"autoregressively":[47],"generates":[48],"discontinuous":[50],"sequence":[51],"(e.g.,":[52,95],"make":[53],"prediction":[55],"every":[56],"k":[57,59],"tokens,":[58],">":[60],"1)":[61],"then":[63],"fills":[64],"in":[65,72],"all":[66],"previously":[67],"skipped":[68],"tokens":[69],"at":[70],"once":[71],"manner.Thus,":[75],"can":[77],"easily":[78],"trade":[79],"off":[80],"quality":[83],"speed":[85,114],"by":[86,90],"adjusting":[87],"k.In":[88],"addition,":[89],"integrating":[91],"other":[92],"modeling":[93],"techniques":[94],"sequencelevel":[96],"knowledge":[97],"distillation":[98],"deep-encodershallow-decoder":[100],"layer":[101],"allocation":[102],"strategy)":[103],"mass":[106],"engineering":[108],"efforts,":[109],"improves":[111],"80%":[112],"inference":[113],"achieves":[116],"equivalent":[117],"performance":[119],"with":[120],"same-capacity":[122],"AT":[123],"counterpart.Our":[124],"fastest":[125],"reaches":[127],"6k+":[128],"words/second":[129],"on":[130],"GPU":[132],"latency":[133],"setting,":[134],"estimated":[135],"be":[137],"about":[138],"3.1x":[139],"faster":[140],"than":[141],"last":[143],"year's":[144],"winner.":[145]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-02T00:00:00"}
