{"id":"https://openalex.org/W4412889459","doi":"https://doi.org/10.18653/v1/2025.acl-srw.23","title":"Pun2Pun: Benchmarking LLMs on Textual-Visual Chinese-English Pun Translation via Pragmatics Model and Linguistic Reasoning","display_name":"Pun2Pun: Benchmarking LLMs on Textual-Visual Chinese-English Pun Translation via Pragmatics Model and Linguistic Reasoning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412889459","doi":"https://doi.org/10.18653/v1/2025.acl-srw.23"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-srw.23","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-srw.23","pdf_url":"https://aclanthology.org/2025.acl-srw.23.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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-srw.23.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119181769","display_name":"Yiran Rex","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yiran Rex Ma","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743820","display_name":"Shan Huang","orcid":"https://orcid.org/0009-0003-8948-9091"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shan Huang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100802157","display_name":"Yuting Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuting Xu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101834340","display_name":"Ziyu Zhou","orcid":"https://orcid.org/0009-0000-7725-8657"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyu Zhou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040797984","display_name":"Yuanxi Wei","orcid":"https://orcid.org/0000-0002-6555-734X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanxi Wei","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5119181769"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10017218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"331","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T10759","display_name":"Translation Studies and Practices","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12881","display_name":"linguistics and terminology studies","score":0.9248999953269958,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pragmatics","display_name":"Pragmatics","score":0.8468830585479736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6485447883605957},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.6351326704025269},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5970029830932617},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4896838963031769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45387569069862366},{"id":"https://openalex.org/keywords/pun","display_name":"Pun","score":0.4461711347103119},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42574045062065125},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06893041729927063},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.057270944118499756}],"concepts":[{"id":"https://openalex.org/C11693617","wikidata":"https://www.wikidata.org/wiki/Q181839","display_name":"Pragmatics","level":2,"score":0.8468830585479736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485447883605957},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.6351326704025269},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5970029830932617},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4896838963031769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45387569069862366},{"id":"https://openalex.org/C23929507","wikidata":"https://www.wikidata.org/wiki/Q263668","display_name":"Pun","level":2,"score":0.4461711347103119},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42574045062065125},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06893041729927063},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.057270944118499756},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.acl-srw.23","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-srw.23","pdf_url":"https://aclanthology.org/2025.acl-srw.23.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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-srw.23","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-srw.23","pdf_url":"https://aclanthology.org/2025.acl-srw.23.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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412889459.pdf","grobid_xml":"https://content.openalex.org/works/W4412889459.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2347675287","https://openalex.org/W2358197094","https://openalex.org/W4238897586","https://openalex.org/W2356950681","https://openalex.org/W2386163479","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2364338477","https://openalex.org/W2059640416","https://openalex.org/W1490753184"],"abstract_inverted_index":{"Puns,":[0],"as":[1],"a":[2,27,32,74],"unique":[3],"form":[4],"of":[5,55,120],"linguistic":[6,47,83,127],"creativity,":[7],"present":[8],"significant":[9],"challenges":[10],"in":[11,88,122],"cross-lingual":[12],"translation,":[13],"particularly":[14,109],"between":[15,40],"linguistically":[16],"distant":[17],"languages":[18],"like":[19],"Chinese":[20,41],"and":[21,42,49,63,84,96,117,128],"English,":[22],"where":[23],"it's":[24],"often":[25],"considered":[26],"\"mission":[28],"impossible\".We":[29],"introduce":[30],"Pun2Pun,":[31],"novel":[33],"benchmark":[34],"for":[35,60,68,110],"quantitatively":[36],"evaluating":[37],"pun":[38,89],"translation":[39,61,69,103],"English":[43],"while":[44],"preserving":[45,123],"both":[46,94],"mechanisms":[48],"humorous":[50],"effects.We":[51],"propose":[52],"the":[53],"adaptation":[54],"Constant-Variable":[56],"Optimization":[57],"(CVO)":[58],"Model":[59],"strategy":[62,104],"concomitant":[64],"Overlap":[65],"(Ovl)":[66],"metric":[67],"quality":[70],"assessment.Our":[71],"approach":[72],"provides":[73],"robust":[75],"quantitative":[76],"evaluation":[77],"framework":[78],"to":[79],"assess":[80],"models'":[81],"complex":[82],"cultural":[85,129],"reasoning":[86],"capabilities":[87],"translation.Through":[90],"extensive":[91],"experiments":[92],"on":[93],"textual":[95],"visual":[97],"puns,":[98],"we":[99],"demonstrate":[100],"that":[101],"our":[102],"model":[105],"significantly":[106],"improves":[107],"performance,":[108],"better-performing":[111],"models.Our":[112],"findings":[113],"reveal":[114],"exciting":[115],"potentials":[116],"current":[118],"limitations":[119],"LLMs":[121],"sophisticated":[124],"humor":[125],"across":[126],"boundaries.":[130]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}
