{"id":"https://openalex.org/W7165052747","doi":"https://doi.org/10.48550/arxiv.2606.17255","title":"MLLP-VRAIN UPV system for the IWSLT 2026 Simultaneous Speech Translation task","display_name":"MLLP-VRAIN UPV system for the IWSLT 2026 Simultaneous Speech Translation task","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7165052747","doi":"https://doi.org/10.48550/arxiv.2606.17255"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.17255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.17255","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092963954","display_name":"Jorge Iranzo-S\u00e1nchez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iranzo-S\u00e1nchez, Jorge","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117537277","display_name":"Gerard Mas-Moll\u00e0","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mas-Moll\u00e0, Gerard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101428553","display_name":"Adri\u00e0 Gim\u00e9nez","orcid":"https://orcid.org/0000-0002-3822-5526"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gim\u00e9nez, Adri\u00e0","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063036884","display_name":"Jorge Civera","orcid":"https://orcid.org/0000-0002-0963-0143"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Civera, Jorge","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054332728","display_name":"Albert Sanch\u00eds","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanchis, Albert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040605861","display_name":"Alfons Juan","orcid":"https://orcid.org/0000-0002-9984-4072"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan, Alfons","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":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.5289000272750854,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.5289000272750854,"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/T10028","display_name":"Topic Modeling","score":0.1679999977350235,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.15279999375343323,"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/task","display_name":"Task (project management)","score":0.6103000044822693},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5364000201225281},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5275999903678894},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5055999755859375},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4999000132083893},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.40130001306533813},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.391400009393692},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3837999999523163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.808899998664856},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6503999829292297},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6103000044822693},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5364000201225281},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5275999903678894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5187000036239624},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5171999931335449},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5055999755859375},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4999000132083893},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.40130001306533813},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.391400009393692},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3837999999523163},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C2780366754","wikidata":"https://www.wikidata.org/wiki/Q7494857","display_name":"Speech translation","level":3,"score":0.3718999922275543},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3237000107765198},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29789999127388},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C504749915","wikidata":"https://www.wikidata.org/wiki/Q9010971","display_name":"Speech technology","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.25920000672340393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.17255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.17255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.17255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.4467025697231293,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"describes":[2],"the":[3,6,11,15,25,43,75,129],"participation":[4],"of":[5,14,45,52,92,99,120,139],"MLLP-VRAIN":[7],"research":[8],"group":[9],"in":[10,83],"shared":[12],"task":[13],"IWSLT":[16],"2026":[17],"Simultaneous":[18],"Speech":[19],"Translation":[20],"track.":[21],"Our":[22,142],"submission":[23],"utilizes":[24],"recently":[26],"released":[27],"Parakeet":[28],"and":[29,95,106],"Qwen":[30],"3.5":[31],"models":[32],"to":[33,55,61,72,103,124],"create":[34],"a":[35,90,96,116,135],"robust,":[36],"cascaded":[37],"solution":[38],"for":[39,74],"long-form":[40],"SimulST":[41],"through":[42],"use":[44],"adaptive":[46],"\"black-box\"":[47],"policies.":[48],"We":[49],"explore":[50],"relaxations":[51],"these":[53],"policies":[54],"achieve":[56],"better":[57],"quality-latency":[58],"trade-offs.":[59],"Compared":[60,123],"last":[62,125],"year,":[63,126],"we":[64,80,114],"participate":[65,82],"on":[66,128],"all":[67],"language":[68],"directions.":[69],"In":[70],"addition":[71],"this,":[73],"En$\\rightarrow${De,":[76],"It,":[77],"Zh}":[78],"directions":[79],"also":[81],"this":[84],"year's":[85],"new":[86],"context":[87,143],"track":[88,144],"employing":[89],"combination":[91],"ASR":[93],"word-boosting":[94],"RAG":[97],"mechanism":[98],"offline":[100],"pre-translated":[101],"exemplars":[102],"guide":[104],"generation":[105],"enrich":[107],"our":[108,121],"system":[109],"with":[110],"domain-specific":[111],"context.":[112],"Finally,":[113],"provide":[115],"detailed":[117],"latency":[118],"analysis":[119],"system.":[122],"results":[127],"MCIF":[130],"En$\\rightarrow$De":[131],"test":[132],"set":[133],"shows":[134],"substantial":[136],"quality":[137],"improvement":[138],"+5.82":[140],"XCOMET-XL.":[141],"processing":[145],"further":[146],"improves":[147],"performance":[148],"by":[149],"+1.03.":[150]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-18T00:00:00"}
