{"id":"https://openalex.org/W4404342295","doi":"https://doi.org/10.48550/arxiv.2410.22499","title":"Anticipating Future with Large Language Model for Simultaneous Machine\n Translation","display_name":"Anticipating Future with Large Language Model for Simultaneous Machine\n Translation","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4404342295","doi":"https://doi.org/10.48550/arxiv.2410.22499"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.22499","pdf_url":"http://arxiv.org/pdf/2410.22499","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2410.22499","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056798278","display_name":"Siqi Ouyang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ouyang, Siqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088392468","display_name":"Oleksii Hrinchuk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hrinchuk, Oleksii","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002433660","display_name":"Zhehuai Chen","orcid":"https://orcid.org/0000-0003-4400-5340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhehuai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026088310","display_name":"Vitaly Lavrukhin","orcid":"https://orcid.org/0009-0006-7866-8301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lavrukhin, Vitaly","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040747392","display_name":"Jagadeesh Balam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Balam, Jagadeesh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092029630","display_name":"Lei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Lei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032957280","display_name":"Boris Ginsburg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ginsburg, Boris","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"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":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":78},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.962,"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":0.962,"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":[],"concepts":[{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.64924663},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6137756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787379},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4077707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.385846},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3634075},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.10882464},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06326467},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.22499","pdf_url":"http://arxiv.org/pdf/2410.22499","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.22499","pdf_url":"http://arxiv.org/pdf/2410.22499","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4386247111","https://openalex.org/W4327642362","https://openalex.org/W3204019825","https://openalex.org/W3107474891","https://openalex.org/W2883671469","https://openalex.org/W2775554247","https://openalex.org/W2728761353","https://openalex.org/W2587014613","https://openalex.org/W2250213760","https://openalex.org/W2110168585"],"abstract_inverted_index":{"Simultaneous":[0],"machine":[1],"translation":[2,55,105],"(SMT)":[3],"takes":[4],"streaming":[5],"input":[6,27],"utterances":[7],"and":[8,28,77,89,108],"incrementally":[9],"produces":[10],"target":[11],"text.":[12],"Existing":[13],"SMT":[14,93],"methods":[15],"only":[16],"use":[17,66],"the":[18,26,29,103,110,119],"partial":[19],"utterance":[20],"that":[21,100],"has":[22],"already":[23],"arrived":[24],"at":[25,118],"generated":[30],"hypothesis.":[31],"Motivated":[32],"by":[33,47,112],"human":[34],"interpreters'":[35],"technique":[36],"to":[37,53,65,72,114],"forecast":[38],"future":[39,74],"words":[40,76],"before":[41],"hearing":[42],"them,":[43],"we":[44],"propose":[45],"$\\textbf{T}$ranslation":[46],"$\\textbf{A}$nticipating":[48],"$\\textbf{F}$uture":[49],"(TAF),":[50],"a":[51,67],"method":[52],"improve":[54],"quality":[56],"while":[57],"retraining":[58],"low":[59],"latency.":[60],"Its":[61],"core":[62],"idea":[63],"is":[64],"large":[68],"language":[69,96],"model":[70],"(LLM)":[71],"predict":[73],"source":[75],"opportunistically":[78],"translate":[79],"without":[80],"introducing":[81],"too":[82],"much":[83],"risk.":[84],"We":[85],"evaluate":[86],"our":[87],"TAF":[88,101],"multiple":[90],"baselines":[91,111],"of":[92],"on":[94],"four":[95],"directions.":[97],"Experiments":[98],"show":[99],"achieves":[102],"best":[104],"quality-latency":[106],"trade-off":[107],"outperforms":[109],"up":[113],"5":[115],"BLEU":[116],"points":[117],"same":[120],"latency":[121],"(three":[122],"words).":[123]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4404342295","counts_by_year":[],"updated_date":"2025-04-04T01:52:16.642624","created_date":"2024-11-14"}