{"id":"https://openalex.org/W7140088321","doi":"https://doi.org/10.18653/v1/2026.eacl-long.133","title":"Test-Time Scaling of Reasoning Models for Machine Translation","display_name":"Test-Time Scaling of Reasoning Models for Machine Translation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140088321","doi":"https://doi.org/10.18653/v1/2026.eacl-long.133"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.eacl-long.133","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.133","pdf_url":"https://aclanthology.org/2026.eacl-long.133.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 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.eacl-long.133.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130356928","display_name":"Zihao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zihao Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007841686","display_name":"Shaoxiong Ji","orcid":"https://orcid.org/0000-0003-3281-8002"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaoxiong Ji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5120309437","display_name":"J\u00f6rg Tiedemann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J\u00f6rg Tiedemann","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39357024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2902","last_page":"2917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.6559000015258789,"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":0.6559000015258789,"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":0.06109999865293503,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.018300000578165054,"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/translation","display_name":"Translation (biology)","score":0.4278999865055084},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.39969998598098755},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.3546999990940094},{"id":"https://openalex.org/keywords/automated-reasoning","display_name":"Automated reasoning","score":0.29280000925064087},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2750999927520752}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6481000185012817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5586000084877014},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4278999865055084},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3779999911785126},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28349998593330383},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25209999084472656},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.eacl-long.133","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.133","pdf_url":"https://aclanthology.org/2026.eacl-long.133.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 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.eacl-long.133","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.133","pdf_url":"https://aclanthology.org/2026.eacl-long.133.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 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140088321.pdf","grobid_xml":"https://content.openalex.org/works/W7140088321.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Test-time":[0],"scaling":[1],"(TTS)":[2],"has":[3],"enhanced":[4],"the":[5,78,143],"performance":[6,75],"of":[7,44,80,145],"Reasoning":[8],"Models":[9],"(RMs)":[10],"on":[11],"various":[12],"tasks":[13],"such":[14],"as":[15],"math":[16],"and":[17,57,68,167],"coding,":[18],"yet":[19],"its":[20,116],"efficacy":[21],"in":[22,129,148,152,160,168],"machine":[23],"translation":[24,35,122,155],"(MT)":[25],"remains":[26],"underexplored.This":[27],"paper":[28],"investigates":[29],"whether":[30],"increased":[31],"inference-time":[32,146],"computation":[33,147],"improves":[34],"quality.We":[36],"evaluate":[37],"12":[38],"RMs":[39],"across":[40],"a":[41,89,111,130,137],"diverse":[42],"suite":[43],"MT":[45,149],"benchmarks":[46],"spanning":[47],"multiple":[48],"domains,":[49],"examining":[50],"three":[51],"scenarios:":[52],"direct":[53,72],"translation,":[54,73],"forced-reasoning":[55],"extrapolation,":[56],"post-editing.Our":[58],"findings":[59],"show":[60],"that":[61,109,142],"for":[62,71],"general-purpose":[63],"RMs,":[64],"TTS":[65,81,125],"provides":[66],"limited":[67],"inconsistent":[69],"benefits":[70],"with":[74,93,156,170],"quickly":[76],"plateauing.However,":[77],"effectiveness":[79],"is":[82],"unlocked":[83],"by":[84],"domain-specific":[85],"fine-tuning,":[86],"which":[87],"aligns":[88],"model's":[90],"reasoning":[91,105],"process":[92],"task":[94],"requirements,":[95],"leading":[96],"to":[97,101,113],"consistent":[98],"improvements":[99],"up":[100],"an":[102],"optimal,":[103],"self-determined":[104],"depth.We":[106],"also":[107],"find":[108],"forcing":[110],"model":[112],"reason":[114],"beyond":[115],"natural":[117],"stopping":[118],"point":[119],"consistently":[120],"degrades":[121],"quality.In":[123],"contrast,":[124],"proves":[126],"highly":[127],"effective":[128],"post-editing":[131],"context,":[132],"reliably":[133],"turning":[134],"self-correction":[135,165],"into":[136],"beneficial":[138],"process.These":[139],"results":[140],"indicate":[141],"value":[144],"lies":[150],"not":[151],"enhancing":[153],"single-pass":[154],"general":[157],"models,":[158],"but":[159],"targeted":[161],"applications":[162],"like":[163],"multistep,":[164],"workflows":[166],"conjunction":[169],"task-specialized":[171],"models.":[172]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-24T00:00:00"}
